Frank Allgöwer

发表

Extremum seeking for optimal enzyme production under cellular fitness constraints

Wolfgang Halter, Simon Michalowsky, Frank Allgöwer, 2019, 2019 18th European Control Conference (ECC).

Real time economic dispatch for power networks: A distributed economic model predictive control approach

Frank Allgöwer, Na Li, Johannes Köhler, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Controller parameterization for SISO and MIMO plants with time delay

Frank Allgöwer, Weidong Zhang, Tao Liu, 2006, Syst. Control. Lett..

Delay robustness in consensus problems

Frank Allgöwer, Ulrich Münz, Antonis Papachristodoulou, 2010, Autom..

Improved state dependent parametrizations including a piecewise linear feedback for constrained linear MPC

Frank Allgöwer, Gregor Goebel, F. Allgöwer, 2014, 2014 American Control Conference.

Robust Dual Control based on Gain Scheduling

Frank Allgöwer, Janani Venkatasubramanian, Johannes Köhler, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Bifurcation search via feedback loop breaking in biochemical signaling pathways with time delay

Frank Allgöwer, Steffen Waldherr, David Dylus, 2011 .

Safe and Fast Tracking on a Robot Manipulator: Robust MPC and Neural Network Control

Frank Allgöwer, Vincent Berenz, Johannes Köhler, 2020, IEEE Robotics and Automation Letters.

A Resource-Aware Approach to Self-Triggered Model Predictive Control pdf

Colin Neil Jones, Frank Allgöwer, Stefan Wildhagen, 2019, ArXiv.

Plenary talk III

Frank Allgöwer, 2011 .

Extensions on a certainty-equivalence feedback design with a class of feedbacks which guarantee ISS

Frank Allgöwer, Christian Ebenbauer, Mathias Bürger, 2008, 2008 American Control Conference.

Nonlinear Dynamic Periodic Event-Triggered Control with Robustness to Packet Loss Based on Non-Monotonic Lyapunov Functions

Frank Allgöwer, Michael Hertneck, Steffen Linsenmayer, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Data-driven estimation of the maximum sampling interval: analysis and controller design for discrete-time systems pdf

Frank Allgöwer, Julian Berberich, Stefan Wildhagen, 2021, ArXiv.

Economic model predictive control with self-tuning terminal cost

David Angeli, Frank Allgöwer, Matthias Albrecht Müller, 2013, Eur. J. Control.

Steady‐state robustness of qualitative gene regulation networks

Fabian J. Theis, Frank Allgöwer, Steffen Waldherr, 2011 .

Rigidity Maintenance Control for Multi-Robot Systems

Antonio Franchi, Heinrich H. Bülthoff, Frank Allgöwer, 2012, Robotics: Science and Systems.

A projected SQP method for nonlinear optimal control with quadratic convergence

Giuseppe Notarstefano, Frank Allgöwer, Florian A. Bayer, 2013, 52nd IEEE Conference on Decision and Control.

Transient average constraints in economic model predictive control

David Angeli, Frank Allgöwer, Matthias Albrecht Müller, 2014, Autom..

Convergence in economic model predictive control with average constraints

David Angeli, Frank Allgöwer, James B. Rawlings, 2014, Autom..

Nonlinear Event-Triggered Platooning Control with Exponential Convergence∗

Dimos V. Dimarogonas, Frank Allgöwer, Steffen Linsenmayer, 2015 .

Stochastic thresholds in event-triggered control: A consistent policy for quadratic control

Frank Allgöwer, Duarte Antunes, Florian David Brunner, 2018, Autom..

Collective Circular Motion of Unicycle Type Vehicles With Nonidentical Constant Velocities

Frank Allgöwer, Changbin Yu, Jiahu Qin, 2014, IEEE Transactions on Control of Network Systems.

Nonlinear Model Predictive Control Schemes with Guaranteed Stability

Hong Chen, Frank Allgöwer, F. Allgöwer, 1998 .

From H∞ Control to Multiobjective Control: An Overview (Von der H∞-Regelung zur Mehrziel-Regelung: ein Überblick)

Frank Allgöwer, Jochen M. Rieber, 2006, Autom..

Advanced Control of Chemical Processes

Furong Gao, Frank Allgöwer, Furong Gao, 2004 .

The quasi-infinite horizon approach to nonlinear model predictive control

Frank Allgöwer, Rolf Findeisen, 2003 .

Observer with sample-and-hold updating for Lipschitz nonlinear systems with nonuniformly sampled measurements

Frank Allgöwer, Tobias Raff, Markus Kogel, 2008, 2008 American Control Conference.

A distributed economic MPC framework for cooperative control under conflicting objectives

Frank Allgöwer, Matthias Albrecht Müller, Philipp N. Köhler, 2018, Autom..

Robust output feedback model predictive control of constrained linear systems: Time varying case

David Q. Mayne, Frank Allgöwer, Rolf Findeisen, 2009, Autom..

Look-ahead cyclic pitch control using LIDAR

Frank Allgöwer, David Schlipf, Martin Kühn, 2010 .

Output synchronization of linear multi-agent systems under constant disturbances via distributed integral action

Frank Allgöwer, Georg S. Seyboth, F. Allgöwer, 2015, 2015 American Control Conference (ACC).

Searching bifurcations in high-dimensional parameter space via a feedback loop breaking approach

Frank Allgöwer, Steffen Waldherr, F. Allgöwer, 2008, Int. J. Syst. Sci..

Distributed and Networked Model Predictive Control

Jörg Fischer, Olaf Stursberg, Uwe D. Hanebeck, 2014 .

Distributed filter design for cooperative ho-type estimation

Li Li, Frank Allgöwer, Valery A. Ugrinovskii, 2015, 2015 IEEE Conference on Control Applications (CCA).

Economic model predictive control with transient average constraints

David Angeli, Frank Allgöwer, Matthias Albrecht Müller, 2013, 52nd IEEE Conference on Decision and Control.

Linear Weakly Hard Real-Time Control Systems: Time- and Event-Triggered Stabilization

Frank Allgöwer, Michael Hertneck, Steffen Linsenmayer, 2020, IEEE Transactions on Automatic Control.

Tube MPC scheme based on robust control invariant set with application to Lipschitz nonlinear systems

Frank Allgöwer, Hong Chen, Shuyou Yu, 2011, CDC/ECC.

Data-driven analysis and control of continuous-time systems under aperiodic sampling pdf

Frank Allgöwer, Julian Berberich, Stefan Wildhagen, 2020, ArXiv.

Dynamic modeling and nonlinear model predictive control of a fluid catalytic cracking unit

Zoltan K. Nagy, Frank Allgöwer, Raluca Roman, 2005 .

Transient performance of economic model predictive control with average constraints

Frank Allgöwer, Matthias Albrecht Müller, Philipp N. Köhler, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Uncertainty-aware visual analysis of biochemical reaction networks

Frank Allgöwer, Daniel Weiskopf, Nicole Radde, 2012, 2012 IEEE Symposium on Biological Data Visualization (BioVis).

Stabilizing stochastic MPC without terminal constraints

Frank Allgöwer, Matthias Albrecht Müller, Matthias Lorenzen, 2017, 2017 American Control Conference (ACC).

Rückkopplungen im Leben und Sterben einer Zelle: Ansätze zur systemtheoretischen Analyse (Feedback during Life and Death of a Cell: Approaches for Systems Theoretical Analysis)

Frank Allgöwer, Steffen Waldherr, Thomas Eissing, 2008, Autom..

Constraint-Tightening and Stability in Stochastic Model Predictive Control

Frank Allgöwer, Roberto Tempo, Fabrizio Dabbene, 2015, IEEE Transactions on Automatic Control.

Trends in Theory of Control System Design - Status Report by the IFAC Coordinating Committee on Desi

Patrizio Colaneri, Frank Allgöwer, Carsten W. Scherer, 2008 .

An explicit solution to constrained stabilization via polytopic tubes

Frank Allgöwer, Mircea Lazar, Florian David Brunner, 2013, 52nd IEEE Conference on Decision and Control.

Dissipativity properties in constrained optimal control: A computational approach

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2020, Autom..

Predictive control for constrained discrete-time periodic systems using a time-varying terminal region* *The authors gratefully acknowledge funding by the German Research Foundation (AL 316/5-1) and support by the Graduate School of the Stuttgart Research Centre for Simulation Technology (SimTech).

Frank Allgöwer, Shuyou Yu, Christoph Böhm, 2009 .

Approximate dissipativity and performance bounds for interconnected systems

Frank Allgöwer, Matthias A. Müller, Philipp N. Köhler, 2019, 2019 18th European Control Conference (ECC).

Delay-dependent rendezvous and flocking of large scale multi-agent systems with communication delays

Frank Allgöwer, Ulrich Münz, Antonis Papachristodoulou, 2008, 2008 47th IEEE Conference on Decision and Control.

Kinetic perturbations as robustness analysis tool for biochemical reaction networks

Frank Allgöwer, Steffen Waldherr, Elling W. Jacobsen, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Cooperative control of linear multi-agent systems via distributed output regulation and transient synchronization

Frank Allgöwer, Wei Ren, Georg S. Seyboth, 2014, Autom..

L2-Gain based controller design for linear systems with distributed delays and rational delay kernels

Frank Allgöwer, Ulrich Münz, 2007 .

Robust Economic Model Predictive Control without Terminal Conditions pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2019, ArXiv.

Yield-Analysis of Different Coupling Schemes for Interconnected Bio-Reactors

Wolfgang Halter, Frank Allgöwer, Bernhard Hauer, 2015, SIAM Conf. on Control and its Applications.

FAULT DIAGNOSIS OF CONSTRAINED NONLINEAR SYSTEMS USING STRUCTURED AUGMENTED STATE MODELS

Frank Allgöwer, Jochen Aßfalg, 2006 .

Robustification and optimization of a Kalman filter with measurement loss using linear precoding

Frank Allgöwer, Bin Yang, Stefan Uhlich, 2009, 2009 American Control Conference.

Introduction to the special issue on systems biology

Frank Allgöwer, Frank Doyle, 2011, Autom..

A Constraint-Tightening Approach to Nonlinear Stochastic Model Predictive Control for Systems under General Disturbances pdf

Frank Allgöwer, Henning Schlüter, F. Allgöwer, 2019, ArXiv.

Robust self-triggered model predictive control for constrained discrete-time LTI systems based on homothetic tubes

W. P. M. H. Heemels, Frank Allgöwer, Florian David Brunner, 2015, 2015 European Control Conference (ECC).

Design of Terminal Cost Functionals and Terminal Regions for Model Predictive Control of Nonlinear Time-Delay Systems

Frank Allgöwer, Marcus Reble, 2012 .

Consensus reaching in multi-agent packet-switched networks with non-linear coupling

Frank Allgöwer, Ulrich Münz, Antonis Papachristodoulou, 2009, Int. J. Control.

Nonlinear Model Predictive Control

Frank Allgöwer, F. Allgöwer, C. Bordons, 2007 .

Robust MPC with recursive model update

Frank Allgöwer, Mark Cannon, Matthias Lorenzen, 2019, Autom..

Passivity-based Feedback Design for Polynomial Control Systems (Passivitätsbasierter Reglerentwurf für polynomiale Systeme)

Frank Allgöwer, Christian Ebenbauer, Tobias Raff, 2005, Autom..

A resource dependent protein synthesis model for evaluating synthetic circuits.

Wolfgang Halter, Frank Allgöwer, Jan Maximilian Montenbruck, 2016, Journal of theoretical biology.

Nonlinear Reference Tracking: An Economic Model Predictive Control Perspective

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2019, IEEE Transactions on Automatic Control.

Robust Constraint Satisfaction in Data-Driven MPC

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

A nonlinear tracking model predictive control scheme for dynamic target signals pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2020, Autom..

Adaptive lambda-tracking in anesthesia

Frank Allgöwer, Christian Frei, Eric Bullinger, 2000 .

Mechanism of PP2A-mediated IKKβ dephosphorylation: a systems biological approach

Oliver Sawodny, Frank Allgöwer, Thomas Sauter, 2009, BMC Systems Biology.

Predictive control for lure systems subject to constraints using LMIs

Frank Allgöwer, Rolf Findeisen, Shuyou Yu, 2009, 2009 European Control Conference (ECC).

Complexity Reduction of Nonlinear Systems for Process Control

Frank Allgöwer, Alejandro Vargas, 2004 .

Validation and analysis of linear distillation models for controller design

Frank Allgöwer, Wolfgang Marquardt, Michael Amrhein, 1993 .

H∞-Regelung von zeitdiskreten Deskriptorsystemen (H∞ Control of Discrete-Time Descriptor Systems)

Frank Allgöwer, Ansgar Rehm, 2004 .

Robust economic model predictive control with linear average constraints

Frank Allgöwer, Florian A. Bayer, F. Allgöwer, 2014, 53rd IEEE Conference on Decision and Control.

Signal differentiation with genetic networks

Wolfgang Halter, Frank Allgöwer, Zoltan A. Tuza, 2017 .

Iterative Learning and Extremum Seeking for Repetitive Time-Varying Mappings

Frank Allgöwer, Hans-Bernd Dürr, Christian Ebenbauer, 2015, IEEE Transactions on Automatic Control.

Performance and design of cycles in consensus networks

Frank Allgöwer, Daniel Zelazo, Simone Schuler, 2013, Syst. Control. Lett..

Position paper on the challenges posed by modern applications to cyber-physical systems theory

Paulo Tabuada, Frank Allgöwer, Maria Prandini, 2019, Nonlinear Analysis: Hybrid Systems.

$\ell_{1}$-Optimal Control of Large Wind Turbines

Po-Wen Cheng, Frank Allgöwer, David Schlipf, 2013, IEEE Transactions on Control Systems Technology.

Nonlinear Predictive Control based on Time-Domain Simulation for Automatic Landing

Frank Allgöwer, Matthias A. Müller, Daniel Baumgärtner, 2011 .

Stability Analysis for Nonlinear Weakly Hard Real-Time Control Systems pdf

Frank Allgöwer, Michael Hertneck, Steffen Linsenmayer, 2020, ArXiv.

Dynamic Pricing Control for Constrained Distribution Networks With Storage

Frank Allgöwer, Claudio De Persis, Mathias Bürger, 2015, IEEE Transactions on Control of Network Systems.

Performance analysis of economic MPC with self-tuning terminal cost

David Angeli, Frank Allgöwer, Matthias Albrecht Müller, 2014, 2014 American Control Conference.

Collision avoidance for uncertain nonlinear systems with moving obstacles using robust Model Predictive Control

Frank Allgöwer, Johannes Köhler, Matthias A. Müller, 2019, 2019 18th European Control Conference (ECC).

Distributed Filter Design for Cooperative H-Infinity-Type Estimation pdf

Li Li, Frank Allgöwer, Valery A. Ugrinovskii, 2015, ArXiv.

Some problems arising in controller design from big data via input-output methods

Frank Allgöwer, Jan Maximilian Montenbruck, F. Allgöwer, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Optimal Experiment Design and Leveraging Competition for Shared Resources in Cell-Free Extracts

Richard M. Murray, Wolfgang Halter, Frank Allgöwer, 2018, 2018 IEEE Conference on Decision and Control (CDC).

IEEE CSS Video Clip Contest 2014 [Technical Activities]

Frank Allgöwer, F. Allgöwer, 2014 .

An Introduction to Nonlinear Model Predictive Control

Frank Allgöwer, Rolf Findeisen, F. Allgöwer, 2002 .

Robust stability and instability of biochemical networks with parametric uncertainty

Frank Allgöwer, Steffen Waldherr, F. Allgöwer, 2011, Autom..

Adaptive lambda-tracking for nonlinear higher relative degree systems

Frank Allgöwer, Eric Bullinger, 2005, Autom..

Determining optimal input-output properties: A data-driven approach pdf

Frank Allgöwer, Johannes Köhler, Julian Berberich, 2020, Autom..

Economic and Distributed Model Predictive Control: Recent Developments in Optimization-Based Control

Frank Allgöwer, Matthias A. Müller, F. Allgöwer, 2017 .

Consensus in Multi-Agent Systems With Coupling Delays and Switching Topology

Frank Allgöwer, Ulrich Münz, Antonis Papachristodoulou, 2011, IEEE Transactions on Automatic Control.

Predictive Control Over a Dynamical Token Bucket Network

Frank Allgöwer, Matthias A. Müller, Stefan Wildhagen, 2019, IEEE Control Systems Letters.

A Quasi-Infinite Horizon Nonlinear Predictive Control Scheme for Stable Systems: Application to a CSTR

Hong Chen, Frank Allgöwer, F. Allgöwer, 1997 .

Cooperative Estimation for Synchronization of Heterogeneous Multi-Agent Systems Using Relative Information pdf

Frank Allgöwer, Valery A. Ugrinovskii, Jingbo Wu, 2015, ArXiv.

Almost sure stability and transient behavior of stochastic nonlinear jump systems motivated by networked control systems

Frank Allgöwer, Ulrich Münz, Rainer Blind, 2007, 2007 46th IEEE Conference on Decision and Control.

Welcome to the ACC2018

Richard D. Braatz, Jordan M. Berg, Frank Allgöwer, 2018, ACC.

Stability analysis of constrained control systems: An alternative approach

Frank Allgöwer, Christian Ebenbauer, F. Allgöwer, 2007, Syst. Control. Lett..

Distributed economic MPC: a framework for cooperative control problems

Frank Allgöwer, Matthias A. Müller, F. Allgöwer, 2014 .

MODEL PREDICTIVE CONTROL FOR NONLINEAR TIME-DELAY SYSTEMS

Frank Allgöwer, Rolf Findeisen, Tobias Raff, 2007 .

Chapter A3 Quantitative nonlinearity assessmentAn introduction to nonlinearity measures

Frank Allgöwer, Tobias Schweickhardt, 2004 .

ℒ2-Gain-based controller design for linear systems with distributed input delay

Frank Allgöwer, Ulrich Münz, Gregor Goebel, 2011, IMA J. Math. Control. Inf..

A novel constraint tightening approach for nonlinear robust model predictive control

Frank Allgöwer, Johannes Köhler, Matthias A. Müller, 2018, 2018 Annual American Control Conference (ACC).

Analysis of primitive genetic interactions for the design of a genetic signal differentiator

Richard M. Murray, Wolfgang Halter, Frank Allgöwer, 2019, Synthetic biology.

Cooperative control of dynamically decoupled systems via distributed model predictive control

Frank Allgöwer, Matthias A. Müller, Marcus Reble, 2012 .

Stability Analysis of Time-Delay Systems With Incommensurate Delays Using Positive Polynomials

Frank Allgöwer, Ulrich Münz, Christian Ebenbauer, 2009, IEEE Transactions on Automatic Control.

Distributed MPC for Consensus and Synchronization

Frank Allgöwer, Matthias A. Müller, 2014 .

Bearing-Only Formation Control with Limited Visual Sensing: Two Agent Case

Frank Allgöwer, Daniel Frank, Daniel Zelazo, 2018 .

On the performance of economic model predictive control with self-tuning terminal cost

David Angeli, Frank Allgöwer, Matthias A. Müller, 2014 .

A solution for a class of output regulation problems on SO(n)

Frank Allgöwer, Christian Ebenbauer, Gerd S. Schmidt, 2012, 2012 American Control Conference (ACC).

Output synchronization of linear parameter-varying systems via dynamic couplings

Frank Allgöwer, Georg S. Seyboth, Gerd S. Schmidt, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

On robust synchronization of heterogeneous linear multi-agent systems with static couplings

Karl Henrik Johansson, Dimos V. Dimarogonas, Frank Allgöwer, 2015, Autom..

Cooperative ℋ∞-estimation for large-scale interconnected linear systems

Frank Allgöwer, Valery A. Ugrinovskii, Jingbo Wu, 2015, 2015 American Control Conference (ACC).

An Approach for Dividing Models of Biological Reaction Networks into Functional Units

Frank Allgöwer, Michael Ederer, Ernst Dieter Gilles, 2003, Simul..

Data-Driven Controller Design via Finite-Horizon Dissipativity pdf

Frank Allgöwer, Julian Berberich, Anne Koch, 2021, ArXiv.

Model Reduction in Biological Systems Applied to a MAP Kinase Model

Frank Allgöwer, E. D. Gilles, Thomas Sauter, 2002 .

Practical synchronization with diffusive couplings

Frank Allgöwer, Mathias Bürger, Jan Maximilian Montenbruck, 2015, Autom..

Distributed robust optimization via Cutting-Plane Consensus

Giuseppe Notarstefano, Frank Allgöwer, Mathias Bürger, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Dissipativity Verification With Guarantees for Polynomial Systems From Noisy Input-State Data

Frank Allgöwer, Tim Martin, 2021, IEEE Control Systems Letters.

Provably Robust Verification of Dissipativity Properties from Data pdf

Frank Allgöwer, Julian Berberich, Anne Koch, 2020, IEEE Transactions on Automatic Control.

Set based uncertainty analysis and parameter estimation of biological networks with the bioSDP toolbox

Frank Allgöwer, Jan Hasenauer, Steffen Waldherr, 2012 .

A maximum likelihood estimator for parameter distributions in heterogeneous cell populations

Frank Allgöwer, Nicole Radde, Jan Hasenauer, 2010, ICCS.

Locally constrained decision making via two-stage distributed simplex

Giuseppe Notarstefano, Frank Allgöwer, Mathias Bürger, 2011, IEEE Conference on Decision and Control and European Control Conference.

A Dissipation Inequality for the Minimum Phase Property

Frank Allgöwer, Christian Ebenbauer, F. Allgöwer, 2008, IEEE Transactions on Automatic Control.

Retraction balancing and formation control

Frank Allgöwer, Daniel Zelazo, Jan Maximilian Montenbruck, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Nonlinearity measures for data-driven system analysis and control

Frank Allgöwer, Tim Martin, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

On Synchronous Steady States and Internal Models of Diffusively Coupled Systems

Frank Allgöwer, Jingbo Wu, Peter Wieland, 2013, IEEE Transactions on Automatic Control.

A general distributed MPC framework for cooperative control

Frank Allgöwer, Matthias A. Müller, Marcus Reble, 2011 .

On convergence of averagely constrained economic MPC and necessity of dissipativity for optimal steady-state operation

David Angeli, Frank Allgöwer, Matthias Albrecht Müller, 2013, 2013 American Control Conference.

Fault Diagnosis Of Constrained Nonlinear Systems Using Structured Augmented State Models

Frank Allgöwer, Jochen Aßfalg, 2007 .

Calculating the terminal region of NMPC for Lure systems via LMIs

Frank Allgöwer, Rolf Findeisen, Tobias Raff, 2008, 2008 American Control Conference.

Event-Based Vehicle Coordination Using Nonlinear Unidirectional Controllers

Dimos V. Dimarogonas, Frank Allgöwer, Steffen Linsenmayer, 2018, IEEE Transactions on Control of Network Systems.

Enhancing Output-Feedback MPC With Set-Valued Moving Horizon Estimation

Frank Allgöwer, Matthias A. Müller, Florian D. Brunner, 2018, IEEE Transactions on Automatic Control.

Observability properties of the periodic Toda lattice

Frank Allgöwer, Christian Ebenbauer, Gerd S. Schmidt, 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).

A Petri Net Modeling Framework for the Control of Flexible Manufacturing Systems

Frank Allgöwer, Philipp Wenzelburger, F. Allgöwer, 2019, IFAC-PapersOnLine.

The tradeoff between modelling complexity and real-time feasibility in nonlinear model predictive control

Hans Bock, Johannes P. Schlöder, Frank Allgöwer, 2002 .

On output feedback nonlinear model predictive control using high gain observers for a class of systems

Frank Allgöwer, Rolf Findeisen, Bjarne A. Foss, 2001 .

A non-monotonic approach to periodic event-triggered control with packet loss

Dimos V. Dimarogonas, Frank Allgöwer, Steffen Linsenmayer, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Methoden und Grundlagen der Automatisierungstechnik in der GMA-Arbeit (Methods and Foundations of Automation Technology: A Report about the Activities within the VDI/VDE Society for Measurement and Automatic Control (GMA))

Frank Allgöwer, 2005, Autom..

Input-output control of composite systems

Frank Allgöwer, Jan Maximilian Montenbruck, F. Allgöwer, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Generalized Nyquist consensus condition for high-order linear multi-agent systems with communication delays

Frank Allgöwer, Ulrich Münz, Antonis Papachristodoulou, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Data-Driven Stabilization of Nonlinear Systems with Rational Dynamics pdf

Frank Allgöwer, Julian Berberich, Robin Strässer, 2020, ArXiv.

Graph topology and subsystem centrality in approximately dissipative system interconnections

Frank Allgöwer, Matthias A. Müller, Philipp N. Köhler, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Dissipativity and Economic Model Predictive Control for Optimal Set Operation

Frank Allgöwer, Tim Martin, Philipp N. Köhler, 2019, 2019 American Control Conference (ACC).

Dual Adaptive MPC for output tracking of linear systems

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Terminal set of min-max model predictive control with guaranteed ℒ2 performance

Hong Chen, Frank Allgöwer, Shuyou Yu, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Design of sparse relative sensing networks

Frank Allgöwer, Daniel Zelazo, Simone Schuler, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Network clustering: A dynamical systems and saddle-point perspective

Frank Allgöwer, Mathias Bürger, Daniel Zelazo, 2011, IEEE Conference on Decision and Control and European Control Conference.

Nonlinear Observer-based Synchronization of Neuron Models

Frank Allgöwer, Jung-Su Kim, F. Allgöwer, 2007 .

Consensus in bistable and multistable multi-agent systems

Frank Allgöwer, Ulrich Münz, Jingbo Wu, 2010, 49th IEEE Conference on Decision and Control (CDC).

Reconstructing temporal and spatial dynamics from single-cell pseudotime using prior knowledge of real scale cell densities

Frank Allgöwer, Karsten Kuritz, Daniela Stöhr, 2020, Scientific Reports.

On the Joint Design of the Controller, its Placement, and the Routing for Networked Control Systems

Frank Allgöwer, Rainer Blind, 2013 .

CONSTRUCTIVE SAFETY USING CONTROL BARRIER FUNCTIONS

Frank Allgöwer, Peter Wieland, F. Allgöwer, 2007 .

Scheduling and control over networks using MPC with time-varying terminal ingredients*

Frank Allgöwer, Stefan Wildhagen, 2020, 2020 American Control Conference (ACC).

High-gain adaptive λ-tracking for nonlinear systems

Frank Allgöwer, Achim Ilchmann, Jon Ashman, 1997, Autom..

A Simple Semi-explicit MPC Algorithm

Frank Allgöwer, Gregor Goebel, F. Allgöwer, 2015 .

Stability of Networked Systems with Multiple Delays Using Linear Programming

Frank Allgöwer, Ulrich Münz, Christian Ebenbauer, 2007, 2007 American Control Conference.

An Efficient Algorithm for Nonlinear Model Predictive Control of Large-Scale Systems Part II: Experimental Evaluation for a Distillation Column Ein effizienter Algorithmus für die nichtlineare prädiktive Regelung großer Systeme Teil II: Experimentelle Erprobung an einer Destillationskolonne

Johannes P. Schlöder, Frank Allgöwer, Moritz Diehl, 2003 .

Consensus-based Distributed Kalman-Bucy Filter for Continuous-time Systems

Frank Allgöwer, Shen Zeng, Jingbo Wu, 2016 .

General design parameters of model predictive control for nonlinear time-delay systems

Frank Allgöwer, Marcus Reble, 2010, 49th IEEE Conference on Decision and Control (CDC).

Model predictive control of constrained LPV systems

Hong Chen, Frank Allgöwer, Shuyou Yu, 2012, Int. J. Control.

Ensuring Task-Independent Safety for Multi-Agent Systems by Feedback

Frank Allgöwer, Christian Ebenbauer, Peter Wieland, 2007, 2007 American Control Conference.

New results on semi-explicit and almost explicit MPC algorithms

Frank Allgöwer, Gregor Goebel, F. Allgöwer, 2017, Autom..

Synchronization of diffusively coupled systems on compact Riemannian manifolds in the presence of drift

Frank Allgöwer, Mathias Bürger, Jan Maximilian Montenbruck, 2015, Syst. Control. Lett..

Iterative data-driven inference of nonlinearity measures via successive graph approximation

Frank Allgöwer, Tim Martin, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Nonlinear Predictive Control and Moving Horizon Estimation — An Introductory Overview

Stephen J. Wright, Frank Allgöwer, James B. Rawlings, 1999 .

Model Discrimination Tools in Apoptosis

Frank Allgöwer, Thomas Eissing, Eric Bullinger, 2005 .

Fekete Points, Formation Control, and the Balancing Problem

Frank Allgöwer, Daniel Zelazo, Jan Maximilian Montenbruck, 2016, IEEE Transactions on Automatic Control.

Combining Prior Knowledge and Data for Robust Controller Design pdf

Frank Allgöwer, Carsten W. Scherer, Julian Berberich, 2020, IEEE Transactions on Automatic Control.

Robustness Analysis of Biological Models

Frank Allgöwer, Steffen Waldherr, F. Allgöwer, 2015, Encyclopedia of Systems and Control.

Efficient Computation of All Distinct Realization Structures of Kinetic Systems

Frank Allgöwer, Gábor Szederkényi, Zoltan A. Tuza, 2016 .

Relaxed conditions for norm-controllability of nonlinear systems

Frank Allgöwer, Daniel Liberzon, Matthias Albrecht Müller, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Interconnections of dissipative systems and distributed economic MPC

Frank Allgöwer, Matthias A. Müller, Philipp N. Kohler, 2018 .

Event-based Containability for Linear Systems with Arbitrarily Small Bit Rates

Frank Allgöwer, Matthias A. Müller, Steffen Linsenmayer, 2019 .

On the Necessity of Diffusive Couplings in Linear Synchronization Problems With Quadratic Cost

Frank Allgöwer, Georg S. Seyboth, Jan Maximilian Montenbruck, 2015, IEEE Transactions on Automatic Control.

Passivity-Based Ensemble Control for Cell Cycle Synchronization

Wolfgang Halter, Frank Allgöwer, Karsten Kuritz, 2018 .

Multi-agent speed consensus via delayed position feedback with application to Kuramoto oscillators

Frank Allgöwer, Ulrich Münz, Gerd S. Schmidt, 2009, 2009 European Control Conference (ECC).

The performance of event-based control for scalar systems with packet losses

Frank Allgöwer, Rainer Blind, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Model-Free Practical Cooperative Control for Diffusively Coupled Systems pdf

Frank Allgöwer, Miel Sharf, Daniel Zelazo, 2019, ArXiv.

The Role of Sampling for Stability and Performance in Unconstrained Nonlinear Model Predictive Control

Karl Worthmann, Frank Allgöwer, Lars Grüne, 2014, SIAM J. Control. Optim..

Educational Games in Control

Frank Allgöwer, Ulrich Münz, Peter Schumm, 2008 .

Assessment and Future Directions of Nonlinear Model Predictive Control

Frank Allgöwer, Rolf Findeisen, Lorenz T. Biegler, 2007 .

Model predictive control of constrained non-linear time-delay systems

Frank Allgöwer, Reza Mahboobi Esfanjani, Marcus Reble, 2011, IMA J. Math. Control. Inf..

Nonlinear model predictive control : towards new challenging applications

Frank Allgöwer, Lalo Magni, Davide M. Raimondo, 2009 .

Efficient Nonlinear Model Predictive Control for Large Scale Constrained Processes

Zoltan K. Nagy, Hans Bock, Johannes P. Schlöder, 2000 .

Chemical process control: a german perspective

Frank Allgöwer, 1992 .

Real-Time Optimization for Large Scale Processes: Nonlinear Model Predictive Control of a High Purity Distillation Column

Johannes P. Schlöder, Frank Allgöwer, Moritz Diehl, 2001 .

Stabilizing model predictive control for LPV systems subject to constraints with parameter-dependent control law

Hong Chen, Frank Allgöwer, Shuyou Yu, 2009, 2009 American Control Conference.

Some Ideas on Sampling Strategies for Data-Driven Inference of Passivity Properties for MIMO Systems

Frank Allgöwer, Jan Maximilian Montenbruck, Anne Romer, 2018, 2018 Annual American Control Conference (ACC).

A unifying framework for stability in MPC using a generalized integral terminal cost

Daniel E. Quevedo, Frank Allgöwer, Marcus Reble, 2012, 2012 American Control Conference (ACC).

Unconstrained model predictive control and suboptimality estimates for nonlinear continuous-time systems

Frank Allgöwer, Marcus Reble, F. Allgöwer, 2012, Autom..

Extremum Seeking with Drift

Frank Allgöwer, Hans-Bernd Dürr, Christian Ebenbauer, 2015 .

Observers with impulsive dynamical behavior for linear and nonlinear continuous-time systems

Frank Allgöwer, Tobias Raff, F. Allgöwer, 2007, 2007 46th IEEE Conference on Decision and Control.

Dynamic uncertainties in model predictive control: guaranteed stability for constrained linear systems

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

The question of parameter identifiability for biochemical reaction networks considering the NF- κB signal transduction pathway

Martin Guay, Frank Allgöwer, Rolf Findeisen, 2007 .

EXPERIMENTAL APPLICATION OF l1-OPTIMAL CONTROL IN ATOMIC FORCE MICROSCOPY

Frank Allgöwer, Andreas Stemmer, Jochen M. Rieber, 2005 .

A Simple Approach to Increase the Maximum Allowable Transmission Interval pdf

Frank Allgöwer, Michael Hertneck, 2020, ArXiv.

Robust Rendezvous of Heterogeneous Euler-Lagrange Systems on Packet-Switched NetworksRobustes Rendezvous von heterogenen Euler-Lagrange Systemen mithilfe paketvermittelnder Netzwerke

Frank Allgöwer, Ulrich Münz, Antonis Papachristodoulou, 2010, Autom..

Two-Degree-of-Freedom Tracking Control of Piezoelectric Tube Scanners in Two-Dimensional Scanning Applications

Frank Allgöwer, Lothar Gaul, Jens Becker, 2008 .

Global Output Regulation for the Rotational Dynamics of a Rigid Body / Globale Ausgangsregelung für die Drehbewegung eines Starrkörpersystems

Simon Michalowsky, Frank Allgöwer, Christian Ebenbauer, 2013, Autom..

Towards a Sampled-Data Theory for Nonlinear Model Predictive Control

Frank Allgöwer, Rolf Findeisen, Bjarne A. Foss, 2003 .

Robust ℓ 1 performance analysis for linear systems with parametric uncertainties

Frank Allgöwer, Carsten W. Scherer, Jochen M. Rieber, 2008, Int. J. Control.

Steady state stability preserving nonlinear model reduction using sequential convex optimization

Frank Allgöwer, Jan Hasenauer, Martin Lohning, 2011, IEEE Conference on Decision and Control and European Control Conference.

Sampling strategies for data-driven inference of passivity properties

Frank Allgöwer, Jan Maximilian Montenbruck, Anne Romer, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Control Strategies Towards Faster Quantitative Imaging in Atomic Force Microscopy

Frank Allgöwer, Georg Schitter, Jochen M. Rieber, 2005, Eur. J. Control.

Navigation and obstacle avoidance via backstepping for mechanical systems with drift in the closed loop

Frank Allgöwer, Mathias Bürger, Jan Maximilian Montenbruck, 2015, 2015 American Control Conference (ACC).

A nonlinear synchronization scheme for polynomial systems

Frank Allgöwer, Jung-Su Kim, F. Allgöwer, 2007, 2007 American Control Conference.

Synchronization conditions for Lyapunov oscillators

Frank Allgöwer, Christian Ebenbauer, Gerd S. Schmidt, 2010, 49th IEEE Conference on Decision and Control (CDC).

Stochastic stability and performance estimates of packetized unconstrained model predictive control for networked control systems

Daniel E. Quevedo, Frank Allgöwer, Marcus Reble, 2011, 2011 9th IEEE International Conference on Control and Automation (ICCA).

Stabilization of networked control systems with weakly hard real-time dropout description

Frank Allgöwer, Steffen Linsenmayer, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Data-driven inference of passivity properties via Gaussian process optimization

Frank Allgöwer, Sebastian Trimpe, Anne Romer, 2019, 2019 18th European Control Conference (ECC).

Compensating Drift Vector Fields With Gradient Vector Fields for Asymptotic Submanifold Stabilization

Frank Allgöwer, Mathias Bürger, Jan Maximilian Montenbruck, 2016, IEEE Transactions on Automatic Control.

A general sampled observability result and its applications

Frank Allgöwer, Shen Zeng, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

μ-Suboptimal design of a robustly performing controller for a chemical reactor

Frank Allgöwer, N. Amann, F. Allgöwer, 1994 .

Computation of piecewise affine terminal cost functions for model predictive control

Frank Allgöwer, Mircea Lazar, Florian David Brunner, 2014, HSCC.

Economic model predictive control with self-tuning terminal weight

David Angeli, Frank Allgöwer, Matthias Albrecht Müller, 2013, 2013 European Control Conference (ECC).

Model-Based Nonlinear Periodic Event-Triggered Control for Continuous-Time Systems with Sampled-Data Prediction

Frank Allgöwer, Michael Hertneck, Steffen Linsenmayer, 2020, 2020 European Control Conference (ECC).

A Finite-Time Dual Method for Negotiation between Dynamical Systems

Frank Allgöwer, Mathias Bürger, Daniel Zelazo, 2013, SIAM J. Control. Optim..

THEORY, ALGORITHMS AND TECHNOLOGY IN THE DESIGN OF CONTROL SYSTEMS: “Status report prepared by the IFAC Coordinating committee on Design Methods”

Frank Allgöwer, Carlos E. de Souza, Carsten W. Scherer, 2005 .

GOOD OR BAD – WHEN IS PLANT NONLINEARITY AN OBSTACLE FOR CONTROL?

Frank Allgöwer, Tobias Schweickhardt, 2006 .

Analysis of Networked Event-Based Control with a Shared Communication Medium: Part I – Pure ALOHA

Frank Allgöwer, Rainer Blind, F. Allgöwer, 2011 .

State and Output Feedback Nonlinear Model Predictive Control: An Overview

Frank Allgöwer, Rolf Findeisen, Lars Imsland, 2003, Eur. J. Control.

Simulation of Piezoelectric Tube Actuators by Reduced Finite Element Models for Controller Design

Frank Allgöwer, Andrew J. Fleming, Johannes Maess, 2007, 2007 American Control Conference.

Model Predictive Control

Mazen Alamir, Frank Allgöwer, 2008 .

Observability based parameter identifiability for biochemical reaction networks

Frank Allgöwer, Rolf Findeisen, Monica Schliemann, 2008, 2008 American Control Conference.

Fault diagnosis of nonlinear systems using structured augmented state models

Frank Allgöwer, Jochen Aßfalg, F. Allgöwer, 2007, Int. J. Autom. Comput..

The Character of an Idempotent-analytic Nonlinear Small Gain Theorem

Frank Allgöwer, Si-Zhao Joe Qin, Henry G. Potrykus, 2003, POSTA.

Multivariable adaptive λ-[lambda]-tracking for nonlinear chemical processes

Frank Allgöwer, Achim Ilchmann, F. Allgöwer, 2006 .

Systems with integral resource consumption

Wolfgang Halter, Frank Allgöwer, Jan Maximilian Montenbruck, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Resource-Aware Asynchronous Multi-Agent Coordination via Self-Triggered MPC

Yuning Jiang, Frank Allgöwer, Stefan Wildhagen, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

A robust adaptive model predictive control framework for nonlinear uncertain systems pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2019, ArXiv.

Automotive Model Predictive Control

Ilya Kolmanovsky, Luigi Glielmo, Frank Allgöwer, 2010 .

Distributed model predictive load frequency control of multi-area interconnected power system

Xiangjie Liu, Frank Allgöwer, Hong Chen, 2014 .

A Polyhedral Approximation Framework for Convex and Robust Distributed Optimization

Giuseppe Notarstefano, Frank Allgöwer, Mathias Bürger, 2013, IEEE Transactions on Automatic Control.

Discrete-time Incremental ISS: A framework for Robust NMPC

Frank Allgöwer, Mathias Bürger, Florian A. Bayer, 2013, 2013 European Control Conference (ECC).

On the moment dynamics of discrete measures

Frank Allgöwer, Shen Zeng, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Industrie 4.0 - (R)evolution without Control Technologies?

Kim D. Listmann, Frank Allgöwer, Philipp Wenzelburger, 2016 .

γ-invasive event-triggered and self-triggered control for perturbed linear systems

W. P. M. H. Heemels, Frank Allgöwer, Florian David Brunner, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Real-Time Implementation of Nonlinear Model Predictive Control of Batch Processes in an Industrial Framework

Zoltan K. Nagy, Frank Allgöwer, Bernd Mahn, 2007 .

Identification of models of heterogeneous cell populations from population snapshot data

Frank Allgöwer, Nicole Radde, Jan Hasenauer, 2011, BMC Bioinformatics.

Output Regulation for Control Systems on $SE(n)$: A Separation Principle Based Approach

Frank Allgöwer, Christian Ebenbauer, Gerd S. Schmidt, 2014, IEEE Transactions on Automatic Control.

Robust Consensus Controller Design for Nonlinear Relative Degree Two Multi-Agent Systems With Communication Constraints

Frank Allgöwer, Ulrich Münz, Antonis Papachristodoulou, 2011, IEEE Transactions on Automatic Control.

Sampled Observability and State Estimation of Linear Discrete Ensembles

Frank Allgöwer, Shen Zeng, Hideaki Ishii, 2017, IEEE Transactions on Automatic Control.

On the Steady-State Inverse-Optimality of Passivity-based Cooperative Control

Frank Allgöwer, Mathias Bürger, Daniel Zelazo, 2013 .

A Novel Optimal Online Scheduling Scheme for Flexible Manufacturing Systems

Frank Allgöwer, Philipp Wenzelburger, 2019 .

A linear reformulation of Boolean optimization problems and its application to the problem of estimating the structure of gene regulation networks

Frank Allgöwer, Madalena Chaves, Christian Breindl, 2013, CDC 2013.

Exponentially fast distributed coordination for nonsmooth convex optimization

Frank Allgöwer, Jorge Cortés, Simon K. Niederländer, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Robust l1 Performance Analysis in face of Parametric Uncertainties

Frank Allgöwer, Carsten W. Scherer, Jochen M. Rieber, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Domain oriented modeling and model reduction

Frank Allgöwer, E. D. Gilles, H. Conzelmann, 2004 .

Modeling, Analysis, and Design of Networked Control Systems using Jump Linear Systems (Modellierung, Analyse und Entwurf vernetzter Regelsysteme mithilfe schaltender Systeme)

Frank Allgöwer, Ulrich Münz, Rainer Blind, 2008, Autom..

Structured optimal feedback in multi-agent systems: A static output feedback perspective

Frank Allgöwer, Shen Zeng, 2017, Autom..

Retransmitting lost measurements to improve remote estimation

Frank Allgöwer, Rainer Blind, 2013, 2013 American Control Conference.

Nonlinear Model Predictive Control for Large Scale Systems

Zoltan K. Nagy, Johannes P. Schlöder, Frank Allgöwer, 2007 .

A tube-based approach to nonlinear explicit MPC

Frank Allgöwer, Mircea Lazar, Florian A. Bayer, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Unconstrained nonlinear MPC: Performance estimates for sampled-data systems with zero order hold

Karl Worthmann, Frank Allgöwer, Lars Grüne, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Barrel temperature control during operation transition in injection molding

Furong Gao, Frank Allgöwer, Ke Yao, 2008 .

Verification of multistability in gene regulation networks: A combinatorial approach

Frank Allgöwer, Christian Breindl, F. Allgöwer, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Linear systems with quadratic outputs

Frank Allgöwer, Shen Zeng, Jan Maximilian Montenbruck, 2017, 2017 American Control Conference (ACC).

Hierarchical Clustering of Dynamical Networks Using a Saddle-Point Analysis

Frank Allgöwer, Mathias Bürger, Daniel Zelazo, 2013, IEEE Transactions on Automatic Control.

Model predictive control of constrained nonlinear time-delay systems

Frank Allgöwer, Ulrich Münz, Reza Mahboobi Esfanjani, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Verifying dissipativity properties from noise-corrupted input-state data

Frank Allgöwer, Julian Berberich, Anne Koch, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Nonlinearity Measures for Chemical Reactors

Frank Allgöwer, Wolfgang Marquardt, Achim Helbig, 1998 .

Training robust neural networks using Lipschitz bounds pdf

Frank Allgöwer, Julian Berberich, Anne Koch, 2020, ArXiv.

A convex conic underestimate of Laplacian spectra and its application to network synthesis

Frank Allgöwer, Jan Maximilian Montenbruck, Alexander Birk, 2015, 2015 European Control Conference (ECC).

Towards Networked Control Systems with guaranteed stability: Using weakly hard real-time constraints to model the loss process

Frank Allgöwer, Rainer Blind, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Simultaneous stabilization of discrete-time delay systems and bounds on delay margin

Frank Allgöwer, Jie Chen, Yang Shi, 2019, Autom..

Ensemble Controllability of Cellular Oscillators

Frank Allgöwer, Shen Zeng, Karsten Kuritz, 2019, IEEE Control Systems Letters.

Cycles and sparse design of consensus networks

Frank Allgöwer, Daniel Zelazo, Simone Schuler, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Data-Driven Model Predictive Control With Stability and Robustness Guarantees pdf

Frank Allgöwer, Johannes Köhler, Matthias A. Müller, 2019, IEEE Transactions on Automatic Control.

Decentralized State Feedback Control for Interconnected Process Systems

Frank Allgöwer, Ulrich Münz, Simone Schuler, 2012 .

Rollout scheduling and control for disturbed systems via tube MPC*

Frank Allgöwer, Stefan Wildhagen, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Synchronized model matching: a novel approach to cooperative control of nonlinear multi-agent systems

Frank Allgöwer, Georg S. Seyboth, F. Allgöwer, 2014 .

Computation of the posterior entropy in a Bayesian framework for parameter estimation in biological networks

Frank Allgöwer, Nicole Radde, Jan Hasenauer, 2010, 2010 IEEE International Conference on Control Applications.

On optimal system operation in robust economic MPC

Frank Allgöwer, Matthias Albrecht Müller, Florian A. Bayer, 2018, Autom..

Integration und Interaktion: Möglichkeiten des Einsatzes von Notebooks und Internet in der regelungstechnischen Lehre (Integration and Interaction: Opportunities of Using Notebooks and Internet for Teaching in Control Engineering)

Frank Allgöwer, Eric Bullinger, Tobias Schweickhardt, 2004 .

A Stabilizing Real-time Implementation of Nonlinear Model Predictive Control

Frank Allgöwer, Moritz Diehl, Moritz Diehl, 2007 .

Stability and performance in transient average constrained economic MPC without terminal constraints pdf

Frank Allgöwer, Johannes Köhler, Mario Rosenfelder, 2019, ArXiv.

Robust self-triggered MPC for constrained linear systems

W. P. M. H. Heemels, Frank Allgöwer, Florian David Brunner, 2014, 2014 European Control Conference (ECC).

Improving performance in model predictive control: Switching cost functionals under average dwell-time

Frank Allgöwer, Matthias Albrecht Müller, F. Allgöwer, 2012, Autom..

Stochastic MPC with offline uncertainty sampling

Frank Allgöwer, Roberto Tempo, Fabrizio Dabbene, 2016, Autom..

Ensemble Observability of Linear Systems

Frank Allgöwer, Christian Ebenbauer, Steffen Waldherr, 2015, IEEE Transactions on Automatic Control.

Live and let die - A systems biology view on cell death

Frank Allgöwer, Madalena Chaves, Thomas Eissing, 2009, Comput. Chem. Eng..

Semi-explicit MPC based on subspace clustering

Frank Allgöwer, Gregor Goebel, F. Allgöwer, 2017, Autom..

Sampling Strategies for Data-Driven Inference of Input–Output System Properties pdf

Frank Allgöwer, Jan Maximilian Montenbruck, Anne Romer, 2019, IEEE Transactions on Automatic Control.

The transcritical bifurcation in absolutely stable feedback systems

Frank Allgöwer, Matthias A. Müller, Steffen Waldherr, 2009, 2009 European Control Conference (ECC).

On time-triggered and event-based control of integrator systems over a shared communication system

Frank Allgöwer, Rainer Blind, F. Allgöwer, 2013, Math. Control. Signals Syst..

A comparison offirst principles and neural network model based nonlinear predictive control of a distillation column

Hans Bock, Frank Allgöwer, Moritz Diehl, 2000 .

Results Towards Identifiability Properties of Biochemical Reaction Networks

Marcello Farina, Frank Allgöwer, Rolf Findeisen, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Efficient offline model predictive control of constrained nonlinear periodic systems

Frank Allgöwer, Christoph Böhm, 2010, PSYCO.

Stability Analysis for Time-Delay Systems using Rekasius's Substitution and Sum of Squares

Frank Allgöwer, Christian Ebenbauer, F. Allgöwer, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Phase synchronization through entrainment by a consensus input

Frank Allgöwer, Rodolphe Sepulchre, Gerd S. Schmidt, 2010, 49th IEEE Conference on Decision and Control (CDC).

IFAC gratuliert Boppard: Glückwünsche einer 60-Jährigen an einen 50-Jährigen

Frank Allgöwer, 2016, Autom..

A quasi-infinite horizon nonlinear model predictive control scheme with guaranteed stability

Frank Allgöwer, Hong Chen, F. Allgöwer, 1997, 1997 European Control Conference (ECC).

Stability of periodically time-varying systems: Periodic Lyapunov functions

Frank Allgöwer, Mircea Lazar, Christoph Böhm, 2012, Autom..

Scenario-based Stochastic MPC with guaranteed recursive feasibility

Frank Allgöwer, Roberto Tempo, Fabrizio Dabbene, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Constrained Nonlinear Output Regulation Using Model Predictive Control pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2020, IEEE Transactions on Automatic Control.

Robust self-triggered MPC for constrained linear systems: A tube-based approach

W. P. M. H. Heemels, Frank Allgöwer, Florian David Brunner, 2016, Autom..

Containability With Event-Based Sampling for Scalar Systems With Time-Varying Delay and Uncertainty

Frank Allgöwer, Hideaki Ishii, Steffen Linsenmayer, 2018, IEEE Control Systems Letters.

A Nonlinear Model Predictive Control Framework Using Reference Generic Terminal Ingredients

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2019, IEEE Transactions on Automatic Control.

Wireless Networking for Control

Frank Allgöwer, Lothar Litz, Reinhard Gotzhein, 2014 .

Analysis of Feedback Mechanisms in Cell-biological Systems

Frank Allgöwer, Steffen Waldherr, Thomas Eissing, 2008 .

Iteratively Improving Moving Horizon Observers for Repetitive Processes

Frank Allgöwer, Rolf Findeisen, Daniel Limon, 2013 .

Call for Papers for a Special Issue on Systems Biology

Frank Allgöwer, 2009, Autom..

Dynamic thresholds in robust event-triggered control for discrete-time linear systems

W. P. M. H. Heemels, Frank Allgöwer, F. D. Brunne, 2016, 2016 European Control Conference (ECC).

A distributed economic MPC scheme for coordination of self-interested systems

Frank Allgöwer, Matthias Albrecht Müller, Philipp N. Köhler, 2016, ACC.

Stability and performance in MPC using a finite-tail cost pdf

Frank Allgöwer, Johannes Köhler, F. Allgöwer, 2021, IFAC-PapersOnLine.

A new model to simulate and analyze proliferating cell populations in BrdU labeling experiments

Frank Allgöwer, Rob J. De Boer, Daniella Schittler, 2013, BMC Systems Biology.

A trajectory-based framework for data-driven system analysis and control

Frank Allgöwer, Julian Berberich, F. Allgöwer, 2019, 2020 European Control Conference (ECC).

INTEGRATION OF E-LEARNING MODULES IN AUTOMATIC CONTROL EDUCATION

Frank Allgöwer, Ulrich Münz, Tobias Schweickhardt, 2006 .

An Update on the IEEE Control Systems Society Technical Activities Board [Technical Activities]

Frank Allgöwer, F. Allgöwer, 2015 .

An inverse problem of tomographic type in population dynamics

Frank Allgöwer, Steffen Waldherr, Shen Zeng, 2014, 53rd IEEE Conference on Decision and Control.

A new method for finding minimum phase outputs

Heidar Ali Talebi, Mohammad Bagher Menhaj, Frank Allgöwer, 2014, 53rd IEEE Conference on Decision and Control.

Nonlinear model predictive control of batch processes: An industrial case study

Zoltan K. Nagy, Rüdiger Franke, Frank Allgöwer, 2005 .

Design of structured dynamic output-feedback controllers for interconnected systems

Ping Li, Frank Allgöwer, James Lam, 2011, Int. J. Control.

Amplitude distribution of stochastic oscillations in biochemical networks due to intrinsic noise

Frank Allgöwer, Moritz Lang, Steffen Waldherr, 2009, PMC biophysics.

Optimization strategies for a MMA polymerization reactor

Frank Allgöwer, Alain Vande Wouwer, Z. Nagy, 2007, Comput. Chem. Eng..

Economic MPC using a Cyclic Horizon with Application to Networked Control Systems pdf

Frank Allgöwer, Matthias A. Müller, Stefan Wildhagen, 2019, ArXiv.

Predictive Control for Polynomial Systems Subject to State and Input Constraints

Frank Allgöwer, Christoph Maier, Christoph Böhm, 2011, Autom..

Learning-Based Robust Model Predictive Control with State-Dependent Uncertainty

Frank Allgöwer, Matthias A. Müller, Sebastian Trimpe, 2018 .

GAIN-SCHEDULING IN THE l1 FRAMEWORK: A FLIGHT CONTROL EXAMPLE

Frank Allgöwer, Jochen M. Rieber, 2006 .

Enhancing output feedback MPC for linear discrete-time systems with set-valued moving horizon estimation

Frank Allgöwer, Matthias Albrecht Müller, Florian David Brunner, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Observer-based synchronization with relative measurements and unknown neighbour models

Frank Allgöwer, Valery A. Ugrinovskii, Jingbo Wu, 2016, 2016 Australian Control Conference (AuCC).

Tube-based robust economic model predictive control

Frank Allgöwer, Matthias A. Müller, Florian A. Bayer, 2014 .

Indefinite Linear Quadratic Optimal Control: Strict Dissipativity and Turnpike Properties

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2018, IEEE Control Systems Letters.

On the Optimization of the Transport Layer for Networked Control Systems

Frank Allgöwer, Rainer Blind, 2013, Autom..

Adaptive λ-Tracking in Anesthesia

Eric Bullinger, Frank Allgöwer, Christian Frei, 2000 .

On the optimal sending rate for Networked Control Systems with a shared communication medium

Frank Allgöwer, Rainer Blind, 2011, IEEE Conference on Decision and Control and European Control Conference.

Chemical process control : present status and future needs ; the view from European industry

Frank Allgöwer, Hans Schuler, Ernst Dieter Gilles, 1991 .

Heterogeneity reduces sensitivity of cell death for TNF-Stimuli

Frank Allgöwer, Steffen Borchers, Rolf Findeisen, 2011, BMC Systems Biology.

Event-triggered and self-triggered control for linear systems based on reachable sets

W. P. M. H. Heemels, Frank Allgöwer, Florian David Brunner, 2019, Autom..

Practical cluster synchronization of heterogeneous sytems on graphs with acyclic topology

Frank Allgöwer, Mathias Bürger, Jan Maximilian Montenbruck, 2013, 52nd IEEE Conference on Decision and Control.

On the observability properties of systems with rolling shutter

Frank Allgöwer, Shen Zeng, Jan Maximilian Montenbruck, 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Steady state sensitivity analysis of biochemical reaction networks: A brief review and new methods

Stefan Streif, Frank Allgöwer, Rolf Findeisen, 2009 .

Signal Estimation and System Identification With Nonlinear Dynamic Sensors

Frank Allgöwer, Mario Sznaier, Julian Berberich, 2019, 2019 IEEE Conference on Control Technology and Applications (CCTA).

An Input–Output Framework for Submanifold Stabilization

Frank Allgöwer, Murat Arcak, Jan Maximilian Montenbruck, 2017, IEEE Transactions on Automatic Control.

Offline NMPC for continuous-time systems using sum of squares

Frank Allgöwer, Christoph Böhm, Frederik Deroo, 2011, Proceedings of the 2011 American Control Conference.

Stabilizing linear model predictive control: On the enlargement of the terminal set

Frank Allgöwer, Mircea Lazar, Florian David Brunner, 2013, 2013 European Control Conference (ECC).

Practical and Robust Synchronization of Systems with Additive Linear Uncertainties

Frank Allgöwer, Georg S. Seyboth, Jan Maximilian Montenbruck, 2013, NOLCOS.

Analysis and design of polynomial control systems using dissipation inequalities and sum of squares

Frank Allgöwer, Christian Ebenbauer, F. Allgöwer, 2006, Comput. Chem. Eng..

An internal model principle is necessary and sufficient for linear output synchronization

Frank Allgöwer, Rodolphe Sepulchre, Peter Wieland, 2011, Autom..

Proceedings of the 21th International Symposium on Mathematical Theory of Networks and Systems (MTNS)

Frank Allgöwer, Claudio De Persis, Mathias Bürger, 2014 .

Nonlinear Reference Tracking with Model Predictive Control:An Intuitive Approach

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2018, 2018 European Control Conference (ECC).

An approach to linear control of nonlinear processes

Frank Allgöwer, Tobias Schweickhardt, 2006 .

Methodische Perspektiven in der Automatisierungstechnik

Kurt Schlacher, Frank Allgöwer, Sebastian Engell, 2001 .

Global Uncertainty Analysis for a Model of TNF-Induced NF-κB Signalling

Frank Allgöwer, Jan Hasenauer, Steffen Waldherr, 2010 .

Industrie 4.0 – (R)evolution ohne Regelungstechnik?

Kim D. Listmann, Frank Allgöwer, Philipp Wenzelburger, 2016, Autom..

A distributed simplex algorithm for degenerate linear programs and multi-agent assignments

Giuseppe Notarstefano, Frank Allgöwer, Francesco Bullo, 2012, Autom..

Robust design of sparse relative sensing networks

Frank Allgöwer, Daniel Zelazo, Simone Schuler, 2013, 2013 European Control Conference (ECC).

Final-state constrained optimal control via a projection operator approach

Giuseppe Notarstefano, Frank Allgöwer, Ivano Notarnicola, 2016, 2016 European Control Conference (ECC).

Norm-Controllability, or How a Nonlinear System Responds to Large Inputs

Frank Allgöwer, Daniel Liberzon, Matthias Albrecht Müller, 2013, NOLCOS.

Duality and network theory in passivity-based cooperative control

Frank Allgöwer, Mathias Bürger, Daniel Zelazo, 2013, Autom..

Predictive control for polynomial systems subject to constraints using sum of squares

Frank Allgöwer, Christoph Maier, Christoph Böhm, 2010, 49th IEEE Conference on Decision and Control (CDC).

On stability and stabilization of periodic discrete-time systems with an application to satellite attitude control

Frank Allgöwer, Nikolaos Athanasopoulos, Mircea Lazar, 2014, Autom..

Periodic event-triggered control for networked control systems based on non-monotonic Lyapunov functions

Dimos V. Dimarogonas, Frank Allgöwer, Steffen Linsenmayer, 2019, Autom..

A robust nonlinear controller for nontrivial quadrotor maneuvers: Approach and verification

Andreas Zell, Frank Allgöwer, Yuyi Liu, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Distributed Nonlinear Observer with Robust Performance - A Circle Criterion Approach pdf

Frank Allgöwer, Jingbo Wu, 2016, ArXiv.

Estimating the fates of the control packets for Networked Control Systems with loss of control and measurement packets

Frank Allgöwer, Rainer Blind, F. Allgöwer, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Systems Biology - A Glossary from two perspectives

Frank Allgöwer, E. D. Gilles, Thomas Sauter, 2002 .

Robust model predictive control for nonlinear discrete‐time systems

Frank Allgöwer, Riccardo Scattolini, Lalo Magni, 2003 .

ℓ∞-gain model reduction for discrete-time systems via LMIs

Frank Allgöwer, Simone Schuler, F. Allgöwer, 2009, 2009 American Control Conference.

Ensemble control for cell cycle synchronization of heterogeneous cell populations

Frank Allgöwer, Michael Dyck, Karsten Kuritz, 2018 .

An Efficient Algorithm for Nonlinear Model Predictive Control of Large-Scale Systems Part I: Description of the Method (Ein effizienter Algorithmus für die nichtlineare prädiktive Regelung großer Systeme Teil I: Methodenbeschreibung)

Hans Bock, Johannes P. Schlöder, Frank Allgöwer, 2002 .

A distributed model predictive control scheme for networks with communication failure

Frank Allgöwer, Matthias A. Müller, Rainer Manuel Schaich, 2014 .

Increasing performance of parametrizations for linear MPC via application of a data mining algorithm

Frank Allgöwer, Gregor Goebel, F. Allgöwer, 2014, 53rd IEEE Conference on Decision and Control.

Structured State Feedback Controllers and Optimal Submanifold Stabilization

Frank Allgöwer, Jan Maximilian Montenbruck, F. Allgöwer, 2017, SIAM J. Control. Optim..

Evaluation study of an efficient output feedback nonlinear model predictive control for temperature tracking in an industrial batch reactor

Zoltan K. Nagy, Rüdiger Franke, Frank Allgöwer, 2007 .

Plant and Control-Relevant Nonlinearity Analysis of a CSTR: A Case Study

Frank Allgöwer, Yogendra Shastri, Tobias Schweickhardt, 2004 .

Robust economic Model Predictive Control using stochastic information

Frank Allgöwer, Matthias Albrecht Müller, Florian A. Bayer, 2016, Autom..

Efficient nonlinear model predictive control

Hans Bock, Johannes P. Schlöder, Frank Allgöwer, 2000 .

Obtaining and employing state dependent parametrizations of prespecified complexity in constrained MPC

Frank Allgöwer, Gregor Goebel, F. Allgöwer, 2013, 52nd IEEE Conference on Decision and Control.

Cooperative control of linear parameter-varying systems

Frank Allgöwer, Georg S. Seyboth, Gerd S. Schmidt, 2012, 2012 American Control Conference (ACC).

On topology and dynamics of consensus among linear high-order agents

Frank Allgöwer, Jung-Su Kim, Peter Wieland, 2011, Int. J. Syst. Sci..

An individual-based simulation framework for dynamic, heterogeneous cell populations during extrinsic stimulations

Frank Allgöwer, Steffen Waldherr, Peter Scheurich, 2015 .

Certainty-Equivalence Feedback Design With Polynomial-Type Feedbacks Which Guarantee ISS

Frank Allgöwer, Christian Ebenbauer, Tobias Raff, 2007, IEEE Transactions on Automatic Control.

Offset-free setpoint tracking using neural network controllers pdf

Frank Allgöwer, Johannes Köhler, Julian Berberich, 2020, ArXiv.

Bridging time scales in cellular decision making with a stochastic bistable switch

Frank Allgöwer, Steffen Waldherr, Jingbo Wu, 2010, BMC Systems Biology.

Economic model predictive control for snake robot locomotion

Kristin Ytterstad Pettersen, Frank Allgöwer, Philipp N. Köhler, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Decentralized state feedback control for interconnected systems with application to power systems

Frank Allgöwer, Ulrich Münz, Simone Schuler, 2014 .

Leaderless synchronization of linear multi-agent systems under directed switching topologies: An invariance approach

Frank Allgöwer, Jiahu Qin, Jingbo Wu, 2013, 52nd IEEE Conference on Decision and Control.

Moving horizon h ∞ control of variable speed wind turbines with actuator saturation

Hong Chen, Xiangjie Liu, Miaomiao Ma, 2014 .

Distributed Model Predictive Control for Consensus of Constrained Heterogeneous Linear Systems

Frank Allgöwer, Matthias A. Müller, Philipp N. Köhler, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Updates on Technical Committees and Wikipedia [Technical Activities]

Frank Allgöwer, F. Allgöwer, 2014 .

A constructive approach to Synchronization using relative information

Frank Allgöwer, Jingbo Wu, F. Allgöwer, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

An introduction to interconnection and damping assignment passivity-based control in process engineering

Frank Allgöwer, Florian Dorfler, Jørgen K. Johnsen, 2009 .

Frequency synchronization and phase agreement in Kuramoto oscillator networks with delays

Frank Allgöwer, Ulrich Münz, Antonis Papachristodoulou, 2012, Autom..

Growing optimally rigid formations

Frank Allgöwer, Daniel Zelazo, F. Allgöwer, 2012, 2012 American Control Conference (ACC).

Data-Driven Tracking MPC for Changing Setpoints pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2019, ArXiv.

Eulerian consensus networks

Frank Allgöwer, Daniel Zelazo, F. Allgöwer, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Constrained derivative-free augmented state estimation for a diesel engine air path

Frank Allgöwer, Jochen Aßfalg, Martin Fritz, 2006 .

Performance oriented triggering mechanisms with guaranteed traffic characterization for linear discrete-time systems

Frank Allgöwer, Steffen Linsenmayer, 2018, 2018 European Control Conference (ECC).

Bistable Biological Systems: A Characterization Through Local Compact Input-to-State Stability

Frank Allgöwer, Madalena Chaves, Thomas Eissing, 2008, IEEE Transactions on Automatic Control.

Steady state and (bi-) stability evaluation of simple protease signalling networks

Frank Allgöwer, Steffen Waldherr, Thomas Eissing, 2007, Biosyst..

Communication Scheduling in Robust Self-Triggered MPC for Linear Discrete-Time Systems

Wpmh Maurice Heemels, Frank Allgöwer, T.M.P. Gommans, 2015 .

A general sampling-based SMPC approach to spacecraft proximity operations

Frank Allgöwer, Elisa Capello, Fabrizio Dabbene, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Cooperative Estimation and Robust Synchronization of Heterogeneous Multiagent Systems With Coupled Measurements

Frank Allgöwer, Valery Ugrinovskii, Jingbo Wu, 2018, IEEE Transactions on Control of Network Systems.

Economic Model Predictive Control for Robust Periodic Operation with Guaranteed Closed-Loop Performance

Frank Allgöwer, Matthias Albrecht Müller, Florian A. Bayer, 2018, 2018 European Control Conference (ECC).

Network-level dynamics of diffusively coupled cells

Frank Allgöwer, Steffen Waldherr, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Distributed model predictive control - Recursive feasibility under inexact dual optimization

Frank Allgöwer, Johannes Köhler, Matthias A. Müller, 2019, Autom..

A Distributed Control Approach to Formation Balancing and Maneuvering of Multiple Multirotor UAVs

Andreas Zell, Heinrich H. Bülthoff, Frank Allgöwer, 2018, IEEE Transactions on Robotics.

A relaxation of Lyapunov conditions and controller synthesis for discrete-time periodic systems

Frank Allgöwer, Mircea Lazar, Christoph Böhm, 2010, 49th IEEE Conference on Decision and Control (CDC).

Computational Delay in Nonlinear Model Predictive Control

Frank Allgöwer, Rolf Findeisen, F. Allgöwer, 2004 .

Inherent robustness properties of quasi-infinite horizon nonlinear model predictive control

Frank Allgöwer, Hong Chen, Shuyou Yu, 2014, Autom..

Robust steady state optimization for polytopic systems

Frank Allgöwer, Florian A. Bayer, Florian David Brunner, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Exact convex formulations of network-oriented optimal operator placement

Frank Dürr, Frank Allgöwer, Kurt Rothermel, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Exploiting Information for Decentralized Periodic Event-Triggered Control

Frank Allgöwer, Michael Hertneck, F. Allgöwer, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Motivation and Learning Progress Through Educational Games

Frank Allgöwer, Ulrich Münz, Andreas Wiesebrock, 2007, IEEE Transactions on Industrial Electronics.

On System Gains, Nonlinearity Measures, and Linear Models for Nonlinear Systems

Frank Allgöwer, Tobias Schweickhardt, 2009, IEEE Transactions on Automatic Control.

Robust data-driven state-feedback design

Frank Allgöwer, Carsten W. Scherer, Julian Berberich, 2019, 2020 American Control Conference (ACC).

Is it worth to retransmit lost packets in Networked Control Systems?

Frank Allgöwer, Rainer Blind, F. Allgöwer, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Feedback Design for Multi-Agent Systems

Frank Allgöwer, Florian D. Brunner, F. Allgöwer, 2012 .

On the state estimation problem for discrete ensembles from discrete-time output snapshots

Frank Allgöwer, Shen Zeng, Hideaki Ishii, 2015, 2015 American Control Conference (ACC).

COMPENSATION OF TIME-VARYING HARMONIC DISTURBANCES ON NONLINEAR BEARINGLESS SLICE MOTORS

Frank Allgöwer, Jochen M. Rieber, Christian Hüttner, 2005 .

Data-Driven Reachability Analysis Using Matrix Zonotopes pdf

Karl Henrik Johansson, Frank Allgöwer, Amr Alanwar, 2020, ArXiv.

Implicit solutions to constrained nonlinear output regulation using MPC

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Multi-agent Systems

Uwe Helmke, Frank Allgöwer, Ozan Demir, 2014 .

MPC for nonlinear periodic tracking using reference generic offline computations

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2018 .

Improved stability conditions for unconstrained nonlinear model predictive control by using additional weighting terms

Daniel E. Quevedo, Frank Allgöwer, Marcus Reble, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

On Deriving a Hybrid Model for Carbohydrate Uptake in Escherichia Coli

Frank Allgöwer, E. D. Gilles, Thomas Sauter, 2002 .

Data-driven inference of conic relations via saddle-point dynamics

Frank Allgöwer, Jan Maximilian Montenbruck, Anne Romer, 2018 .

Stabilizing submanifolds with passive input-output relations

Frank Allgöwer, Murat Arcak, Jan Maximilian Montenbruck, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

A linear multi-agent systems approach to diffusively coupled piecewise affine systems: Delay robustness

Kenji Kashima, Frank Allgöwer, Antonis Papachristodoulou, 2011, IEEE Conference on Decision and Control and European Control Conference.

A visual analytics approach for models of heterogeneous cell populations

Frank Allgöwer, Daniel Weiskopf, Jan Hasenauer, 2012, EURASIP J. Bioinform. Syst. Biol..

Separable matrices and minimum complexity controllers

Frank Allgöwer, Jan Maximilian Montenbruck, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

A Computationally Efficient Robust Model Predictive Control Framework for Uncertain Nonlinear Systems pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2019, IEEE Transactions on Automatic Control.

Robustness of steady-state optimality in economic model predictive control

Frank Allgöwer, Matthias Albrecht Müller, F. Allgöwer, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Using genetic algorithm in robust nonlinear model predictive control

Zoltan K. Nagy, Hans Bock, Johannes P. Schlöder, 2001 .

Delay Robustness in Non-Identical Multi-Agent Systems

Frank Allgöwer, Ulrich Münz, Antonis Papachristodoulou, 2012, IEEE Transactions on Automatic Control.

A Distributed Solution to the Adjustable Robust Economic Dispatch Problem

Frank Allgöwer, Giuseppe Notarstefano, Mathias Bürger, 2013 .

Optimal pricing control in distribution networks with time-varying supply and demand pdf

Frank Allgöwer, Claudio De Persis, Mathias Bürger, 2014, ArXiv.

Unconstrained model predictive control and suboptimality estimates for nonlinear time-delay systems

Frank Allgöwer, Matthias Albrecht Müller, Marcus Reble, 2011, IEEE Conference on Decision and Control and European Control Conference.

Robust cooperative control of dynamically decoupled systems via distributed {MPC}

Frank Allgöwer, Matthias A. Müller, Bastian Schürmann, 2012 .

Robust Event-Triggered MPC With Guaranteed Asymptotic Bound and Average Sampling Rate

W. P. M. H. Heemels, Frank Allgöwer, Florian David Brunner, 2017, IEEE Transactions on Automatic Control.

Static Diffusive Couplings in Heterogeneous Linear Networks

Karl Henrik Johansson, Dimos V. Dimarogonas, Frank Allgöwer, 2012 .

Resource-aware set-valued estimation for discrete-time linear systems

W. P. M. H. Heemels, Frank Allgöwer, Florian David Brunner, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Comparative assessment of old and new suboptimal control schemes on three example processes

Frank Allgöwer, Michel Journée, Tobias Schweickhardt, 2006 .

Live & let die - A systems biology view on cell death

Frank Allgöwer, Madalena Chaves, Thomas Eißing, 2007 .

Stability analysis of periodically time-varying systems using periodic Lyapunov functions

Frank Allgöwer, Mircea Lazar, Christoph Böhm, 2010, PSYCO.

On norm-controllability of nonlinear systems

Frank Allgöwer, Daniel Liberzon, Matthias Albrecht Müller, 2011, IEEE Conference on Decision and Control and European Control Conference.

Diagnosis of parametric faults in multivariable nonlinear systems

Frank Allgöwer, Ulrich Münz, Marcus Reble, 2007, 2007 46th IEEE Conference on Decision and Control.

Asymptotic stabilization of submanifolds embedded in Riemannian manifolds

Frank Allgöwer, Jan Maximilian Montenbruck, 2016, Autom..

From non-cooperative to cooperative distributed MPC: A simplicial approximation perspective

Giuseppe Notarstefano, Frank Allgöwer, Mathias Bürger, 2013, 2013 European Control Conference (ECC).

Integration of Communication Networks and Control Systems Using a Slotted Transmission Classification Model

Frank Dürr, Frank Allgöwer, Kurt Rothermel, 2019, 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC).

On the zeros of consensus networks

Frank Allgöwer, Mathias Bürger, Daniel Zelazo, 2011, IEEE Conference on Decision and Control and European Control Conference.

Min-max economic model predictive control approaches with guaranteed performance

Frank Allgöwer, Matthias Albrecht Müller, Florian A. Bayer, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Model-based vibration suppression in piezoelectric tube scanners through induced voltage feedback

Frank Allgöwer, Andrew J. Fleming, Johannes Maess, 2008, 2008 American Control Conference.

Constrained Stabilization of Periodic Discrete-Time Systems Via Periodic Lyapunov Functions

Frank Allgöwer, Nikolaos Athanasopoulos, Mircea Lazar, 2013, PSYCO.

Sampled observability of discrete heterogeneous ensembles from anonymized output measurements

Frank Allgöwer, Shen Zeng, Hideaki Ishii, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Dynamic Resource Allocation to Control Epidemic Outbreaks A Model Predictive Control Approach

Chinwendu Enyioha, Frank Allgöwer, Johannes Köhler, 2018, 2018 Annual American Control Conference (ACC).

Fault Diagnosis with Structured Augmented State Models: Modeling, Analysis, and Design

Frank Allgöwer, Jochen Assfalg, F. Allgöwer, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

On Periodic Dissipativity Notions in Economic Model Predictive Control

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2018, IEEE Control Systems Letters.

A simple framework for nonlinear robust output-feedback MPC

Frank Allgöwer, Johannes Köhler, Matthias A. Müller, 2019, 2019 18th European Control Conference (ECC).

Additional material to the paper "On necessity and robustness of dissipativity in economic model predictive control"

David Angeli, Frank Allgöwer, Matthias A. Müller, 2015 .

Theorie der Automatisierungstechnik

Olaf Stursberg, Frank Allgöwer, Ulrich Konigorski, 2007, Autom..

Optimal and optimal-linear control over lossy, distributed networks

Frank Allgöwer, Rolf Findeisen, Markus Kögel, 2011 .

One-Shot Verification of Dissipativity Properties From Input–Output Data

Frank Allgöwer, Johannes Köhler, Julian Berberich, 2019, IEEE Control Systems Letters.

Robust and optimal predictive control of the COVID-19 outbreak☆

Frank Allgöwer, Julian Berberich, Lukas Schwenkel, 2020, Annual Reviews in Control.

Robust nonlinear control approach to nontrivial maneuvers and obstacle avoidance for quadrotor UAV under disturbances

Andreas Zell, Heinrich H. Bülthoff, Frank Allgöwer, 2017, Robotics Auton. Syst..

On Necessity and Robustness of Dissipativity in Economic Model Predictive Control

David Angeli, Frank Allgöwer, Matthias Albrecht Müller, 2015, IEEE Transactions on Automatic Control.

A set-valued filter for discrete time polynomial systems using sum of squares programming

Frank Allgöwer, Christoph Maier, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Model predictive control of uncertain continuous-time systems with piecewise constant control input: A convex approach

Frank Allgöwer, Tobias Raff, David Sinz, 2008, 2008 American Control Conference.

Periodic reference tracking for nonlinear systems via model predictive control

Frank Allgöwer, Matthias Albrecht Müller, Emre Aydiner, 2016, 2016 European Control Conference (ECC).

A nonlinear model predictive control approach for robust end‐point property control of a thin‐film deposition process

Zoltan K. Nagy, Frank Allgöwer, F. Allgöwer, 2007 .

PDE-constrained optimization for estimating population dynamics over cell cycle from static single cell measurements

Frank Allgöwer, Karsten Kuritz, Alain R. Bonny, 2020, bioRxiv.

Extendedversion of the paper ‘ Semi-explicitMPCbased on subspace clustering ’ ?

Frank Allgöwer, Gregor Goebel, F. Allgöwer, 2017 .

Augmenting MPC Schemes With Active Learning: Intuitive Tuning and Guaranteed Performance

Frank Allgöwer, Johannes Köhler, Raffaele Soloperto, 2020, IEEE Control Systems Letters.

Combinatorial insights and robustness analysis for clustering in dynamical networks

Frank Allgöwer, Mathias Bürger, Daniel Zelazo, 2012, 2012 American Control Conference (ACC).

Multivariable controller design for an industrial distillation column

Frank Allgöwer, Jörg Raisch, 1992 .

Verteilte Ausgangsregelung von Multiagentensystemen mit gekoppelten Messgrößen

Frank Allgöwer, Jingbo Wu, 2016, Autom..

Approximative classification of regions in parameter spaces of nonlinear ODEs yielding different qualitative behavior

Frank Allgöwer, Jan Hasenauer, Steffen Waldherr, 2010, 49th IEEE Conference on Decision and Control (CDC).

An Offline-Sampling SMPC Framework with Application to Automated Space Maneuvers

Frank Allgöwer, Elisa Capello, Giorgio Guglieri, 2018, ArXiv.

Control over erasure channels: stochastic stability and performance of packetized unconstrained model predictive control

Daniel E. Quevedo, Frank Allgöwer, Marcus Reble, 2013 .

Output regulation for attitude control: A global approach

Frank Allgöwer, Christian Ebenbauer, Gerd S. Schmidt, 2013, 2013 American Control Conference.

A moment-based approach to ensemble controllability of linear systems

Frank Allgöwer, Shen Zeng, F. Allgöwer, 2016, Syst. Control. Lett..

Periodic optimal control of nonlinear constrained systems using economic model predictive control pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2020, ArXiv.

Robust Output Feedback Model Predictive Control for Constrained Linear Systems under Uncertainty Based on Feed Forward and Positive Invariant Feedback Control

David Q. Mayne, Frank Allgöwer, Rolf Findeisen, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Multistability equivalence between gene regulatory networks of different dimensionality

Frank Allgöwer, Steffen Waldherr, Daniella Schittler, 2013, 2013 European Control Conference (ECC).

Nonlinear model predictive control for periodic systems using LMIs

Frank Allgöwer, Christoph Böhm, Marcus Reble, 2009, 2009 European Control Conference (ECC).

Sample-based modeling reveals bidirectional interplay between cell cycle progression and extrinsic apoptosis

Frank Allgöwer, Markus Rehm, Dirke Imig, 2020, PLoS Comput. Biol..

Generic bifurcations in the dynamics of biochemical networks

Frank Allgöwer, Nicole Radde, Steffen Waldherr, 2010, 2010 IEEE International Conference on Control Applications.

A controller design for Networked Control Systems with random delays via the Jump Linear System approach, which reduces the effects of the delay

Frank Allgöwer, Rainer Blind, 2009, 2009 European Control Conference (ECC).

An improved constraint-tightening approach for Stochastic MPC

Frank Allgöwer, Roberto Tempo, Fabrizio Dabbene, 2014, 2015 American Control Conference (ACC).

Linear robust adaptive model predictive control: Computational complexity and conservatism

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

MPC with one free control action for constrained LPV systems

Frank Allgöwer, Hong Chen, Shuyou Yu, 2010, 2010 IEEE International Conference on Control Applications.

L2-gain of Port-Hamiltonian systems and application to a biochemical fermenter model

Frank Allgöwer, Jorgen K. Johnsen, Florian Dörfler, 2008, 2008 American Control Conference.

A Matlab-Based Game for Advanced Automatic Control Education

Frank Allgöwer, Ulrich Münz, Christoph Böhm, 2010 .

Plant-wide control concepts on the basis of the qualifying potential

Frank Allgöwer, Ernst Dieter Gilles, M. Storz, 1996 .

Learning an Approximate Model Predictive Controller With Guarantees

Frank Allgöwer, Johannes Köhler, Sebastian Trimpe, 2018, IEEE Control Systems Letters.

A linear reformulation of Boolean optimization problems and structure identification of gene regulation networks

Frank Allgöwer, Madalena Chaves, Christian Breindl, 2013, 52nd IEEE Conference on Decision and Control.

Death wins against life in a spatially extended model of the caspase-3/8 feedback loop

Frank Allgöwer, Steffen Waldherr, Guido Schneider, 2012, Biosyst..

A Robustness Measure for the Stationary Behavior of Gene Regulation Networks

Frank Allgöwer, Steffen Waldherr, Christian Breindl, 2010 .

Theory, algorithms and technology in the design of control systems

Patrizio Colaneri, Frank Allgöwer, Carlos E. de Souza, 2005, Annu. Rev. Control..

Robust output feedback model predictive control of constrained linear systems

David Q. Mayne, Frank Allgöwer, Rolf Findeisen, 2006, Autom..

Reconstructing temporal and spatial dynamics in single-cell experiments

Frank Allgöwer, Karsten Kuritz, Daniela Stöhr, 2019, bioRxiv.

Data-Driven Reachability Analysis from Noisy Data pdf

Karl Henrik Johansson, Frank Allgöwer, Amr Alanwar, 2021, ArXiv.

Model Predictive Control for Linear Uncertain Systems Using Integral Quadratic Constraints pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2021, IEEE Transactions on Automatic Control.

On the design of terminal ingredients for data-driven MPC pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2021, IFAC-PapersOnLine.

Dynamic self-triggered control for nonlinear systems based on hybrid Lyapunov functions pdf

Frank Allgöwer, Michael Hertneck, F. Allgöwer, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

Data-driven Control of Dynamic Event-triggered Systems with Delays pdf

Frank Allgöwer, Julian Berberich, Jie Chen, 2021, ArXiv.

Transient Performance of Tube-based Robust Economic Model Predictive Control pdf

Frank Allgöwer, Matthias A. Müller, Lukas Schwenkel, 2021, IFAC-PapersOnLine.

Distributed economic model predictive control for cooperative supply chain management using customer forecast information

Frank Allgöwer, Matthias A. Müller, Philipp N. Köhler, 2021, IFAC Journal of Systems and Control.

Linear tracking MPC for nonlinear systems Part I: The model-based case pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2021, ArXiv.

A control framework for autonomous e-scooters

Frank Allgöwer, Raffaele Soloperto, Philipp Wenzelburger, 2021, IFAC-PapersOnLine.

Dissipativity verification with guarantees for polynomial systems from noisy input-state data

Frank Allgöwer, Tim Martin, 2021, 2021 American Control Conference (ACC).

Dissipativity verification with guarantees for polynomial systems from noisy input-state data

Frank Allgöwer, Tim Martin, F. Allgöwer, 2020, 2021 American Control Conference (ACC).

Controller and Triggering Mechanism Co-design for Control Over Time-Slotted Networks

Frank Allgöwer, Kurt Rothermel, Stefan Wildhagen, 2021, IEEE Transactions on Control of Network Systems.

Data-Driven Inference on Optimal Input–Output Properties of Polynomial Systems With Focus on Nonlinearity Measures pdf

Frank Allgöwer, Tim Martin, F. Allgöwer, 2021, IEEE Transactions on Automatic Control.

Linear tracking MPC for nonlinear systems Part II: The data-driven case pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2021, ArXiv.

A Simple Approach to Increase the Maximum Allowable Transmission Interval pdf

Frank Allgöwer, Michael Hertneck, 2021, IFAC-PapersOnLine.

Data-driven system analysis of nonlinear systems using polynomial approximation pdf

Frank Allgöwer, Tim Martin, 2021, ArXiv.

Model Predictive Control for Flexible Job Shop Scheduling in Industry 4.0

Frank Allgöwer, Philipp Wenzelburger, F. Allgöwer, 2021, Applied Sciences.

Data-driven analysis and control of continuous-time systems under aperiodic sampling pdf

Frank Allgöwer, Julian Berberich, Stefan Wildhagen, 2020, IFAC-PapersOnLine.

Data-Based System Analysis and Control of Flat Nonlinear Systems pdf

Frank Allgöwer, Matthias A. Müller, Julian Berberich, 2021, ArXiv.

Model predictive control for autonomous ground vehicles: a review

Frank Allgöwer, Matthias Hirche, Shuyou Yu, 2021, Autonomous Intelligent Systems.

Multi-party computation for secure polynomial control pdf

Frank Allgöwer, Stefan Wildhagen, Michael Hertneck, 2021, ArXiv.

Robust output feedback model predictive control using online estimation bounds pdf

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2021, ArXiv.

Data-Driven Reachability Analysis Using Matrix Zonotopes

Karl Henrik Johansson, Frank Allgöwer, Amr Alanwar, 2020, L4DC.

Improved stability conditions for systems under aperiodic sampling: model- and data-based analysis* pdf

Frank Allgöwer, Julian Berberich, Stefan Wildhagen, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

Data-driven estimation of the maximum sampling interval: analysis and controller design for discrete-time systems pdf

Frank Allgöwer, Julian Berberich, Stefan Wildhagen, 2021, ArXiv.

Data-Driven Controller Design via Finite-Horizon Dissipativity

Frank Allgöwer, Julian Berberich, Nils Wieler, 2021, L4DC.

Neural network training under semidefinite constraints pdf

Frank Allgöwer, Patricia Pauli, Dennis Gramlich, 2022, ArXiv.

Efficient stability analysis approaches for nonlinear weakly-hard real-time control systems

Frank Allgöwer, Michael Hertneck, Steffen Linsenmayer, 2021, at - Automatisierungstechnik.

Rollout event-triggered control: Reconciling event- and time-triggered control pdf

Frank Allgöwer, Stefan Wildhagen, 2021, ArXiv.

Robust stability analysis of a simple data-driven model predictive control approach pdf

Frank Allgöwer, Johannes Köhler, Julian Berberich, 2021, IEEE Transactions on Automatic Control.

Linear systems with neural network nonlinearities: Improved stability analysis via acausal Zames-Falb multipliers pdf

Frank Allgöwer, Julian Berberich, Patricia Pauli, 2021, ArXiv.

Data-Driven Input-Passivity Estimation Using Power Iterations

Frank Allgöwer, Cristian R. Rojas, Matias I. Müller, 2021, IFAC-PapersOnLine.

Robust dynamic self-triggered control for nonlinear systems using hybrid Lyapunov functions pdf

Frank Allgöwer, Michael Hertneck, F. Allgöwer, 2021, Nonlinear Analysis: Hybrid Systems.

Data-driven model predictive control: closed-loop guarantees and experimental results

Frank Allgöwer, Matthias A. Müller, Johannes Köhler, 2021, Autom..

Uncertainties and output feedback in rollout event-triggered control pdf

Frank Allgöwer, Stefan Wildhagen, 2021, ArXiv.

Training Robust Neural Networks Using Lipschitz Bounds

Frank Allgöwer, Julian Berberich, Patricia Pauli, 2021, 2021 American Control Conference (ACC).

Model Predictive Control for Discrete Time Polynomial Control Systems: A Convex Approach

Frank Allgöwer, Rolf Findeisen, Christian Ebenbauer, 2004 .

Output Consensus Controller Design for Nonlinear Relative Degree One Multi-Agent Systems with Delays*

Frank Allgöwer, Ulrich Münz, Antonis Papachristodoulou, 2009 .

Remodelling Processes in Bones: A Biphasic Porous Media Model

Frank Allgöwer, Bernd Markert, Wolfgang Ehlers, 2012 .

On the stabilizability of continuous-time systems over a packet based communication system with loss and delay

Frank Allgöwer, Rainer Blind, F. Allgöwer, 2014 .

Stabilizing design parameters for model predictive control of constrained nonlinear time-delay systems

Frank Allgöwer, Marcus Reble, 2010 .

Structure estimation for unate Boolean models of gene regulation networks

Frank Allgöwer, Jean-Luc Gouzé, Madalena Chaves, 2012 .

Optimal Controller Structure Reduction for Decentralized Control

Frank Allgöwer, Ulrich Münz, Simone Schuler, 2010 .

Consensus algorithm‐based approach to fundamental modeling of water pipe networks

Frank Allgöwer, Shin Je Lee, Jung Chul Suh, 2017 .

Output-feedback nonlinear model predictive control using high-gain observers in original coordinates

Frank Allgöwer, Rolf Findeisen, Bjarne A. Foss, 2003, 2003 European Control Conference (ECC).

On the role of dissipativity in economic model predictive control

Frank Allgöwer, Matthias A. Müller, Lars Grüne, 2015 .

Modelling and Analysis of Cell Death Signalling

Frank Allgöwer, Steffen Waldherr, F. Allgöwer, 2007 .

Response to bistability in apoptosis: roles of bax, bcl-2, and mitochondrial permeability transition pores.

Eric Bullinger, Frank Allgöwer, Steffen Waldherr, 2007, Biophysical journal.

An NMPC Approach to Avoid Weakly Observable Trajectories

Frank Allgöwer, Rolf Findeisen, Christoph Böhm, 2009 .

ROBUST CONTROL OF CONSTRAINED SECTOR BOUNDED LUR ’ E SYSTEMS WITH APPLICATIONS TO NONLINEAR MODEL PREDICTIVE CONTROL

Frank Allgöwer, Rolf Findeisen, Christoph Böhm, 2010 .

Improving Performance in Robust Economic MPC Using Stochastic Information

Frank Allgöwer, Matthias A. Müller, Florian A. Bayer, 2015 .

Advanced control of chemical processes : a proceedings volume from the 7th IFAC International Symposium (ADCHEM), Hong Kong, China, 11-14 January 2004

Furong Gao, Frank Allgöwer, F. Allgöwer, 2004 .

Regulation of Apoptosis via the NFκB Pathway: Modeling and Analysis

Frank Allgöwer, Madalena Chaves, F. Allgöwer, 2009 .

Unconstrained Nonlinear Model Predictive Control and Suboptimality Estimates for Continuous-Time Systems

Frank Allgöwer, Marcus Reble, F. Allgöwer, 2011 .

An engineering perspective on nonlinear H∞-control

Frank Allgöwer, Ernst Dieter Gilles, Ansgar Rehm, 1994 .

Dynamical optimization using reduced order models: A method to guarantee performance

Frank Allgöwer, Jan Hasenauer, Mustafa Khammash, 2012 .

Nonlinear structure identification of chemical processes

Frank Allgöwer, R. K. Pearson, F. Allgöwer, 1997 .

Robust Event-Triggered MPC for Constrained Linear Discrete-Time Systems with Guaranteed Average Sampling Rate*

Frank Allgöwer, Wpmh Maurice Heemels, Florian D. Brunner, 2015 .

Relationship Between Control-Relevant Nonlinearity and Performance Objective

Frank Allgöwer, Francis J. Doyle, Tobias Schweickhardt, 2004 .

Receding Horizon Control for Linear Periodic Time-Varying Systems Subject to Input Constraints

Frank Allgöwer, Rolf Findeisen, Christoph Böhm, 2009 .

Dissipation inequalities in systems theory: An introduction and recent results

Frank Allgöwer, Christian Ebenbauer, Tobias Raff, 2009 .

Approximate input-output linearization of nonminimum phase nonlinear systems

Frank Allgöwer, F. Allgöwer, 1997 .

Determining dissipation inequalities from input-output samples

Frank Allgöwer, Jan Maximilian Montenbruck, Anne Romer, 2017 .

State estimation of interconnected ensembles with anonymized outputs

Frank Allgöwer, Shen Zeng, Hideaki Ishii, 2016 .

Analysis of heterogeneous cell populations: A density-based modeling and identification framework

Frank Allgöwer, Nicole Radde, Jan Hasenauer, 2011 .

Model Predictive Control for Nonlinear Time-Delay Systems without Terminal Constraint

Frank Allgöwer, Marcus Reble, Florian D. Brunner, 2011 .

Min-max output feedback predictive control with guaranteed stability

Frank Allgöwer, Rolf Findeisen, F. Allgöwer, 2022 .

Computer-Aided stability analysis of differential-algebraic equations

Frank Allgöwer, Christian Ebenbauer, 2004 .

A robustness approach to linear control of mildly nonlinear processes

Frank Allgöwer, Tobias Schweickhardt, F. Allgöwer, 2007 .

State dependent parametrizations for nonlinear MPC

Frank Allgöwer, Gregor Goebel, F. Allgöwer, 2014 .

Linear control of nonlinear systems based on nonlinearity measures

Frank Allgöwer, Tobias Schweickhardt, F. Allgöwer, 2007 .

Nonlinear Model Predictive Control for Index—one DAE Systems

Frank Allgöwer, Rolf Findeisen, F. Allgöwer, 2000 .

Pain modulators regulate the dynamics of PKA-RII phosphorylation in subgroups of sensory neurons

Frank Allgöwer, Jan Hasenauer, Steffen Waldherr, 2014, Journal of Cell Science.

A SIMPLE SEPARATION RESULT FOR CONTROL AFFINE SYSTEMS

Frank Allgöwer, Christian Ebenbauer, Tobias Raff, 2005 .

On the ensemble observability problem for nonlinear systems

Frank Allgöwer, Shen Zeng, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

General quadratic performance analysis and synthesis of differential algebraic equation (DAE) systems

Frank Allgöwer, Ansgar Rehm, 2002 .

Biosystems Engineering: Applying methods from systems theory to biological systems

Eric Bullinger, Frank Allgöwer, Michael Ederer, 2001 .

EXPERIMENTAL APPLICATION OF `1-OPTIMAL CONTROL IN ATOMIC FORCE MICROSCOPY

Frank Allgöwer, Georg Schitter, Andreas Stemmer, .

Efficient Model Predictive Control for Linear Periodic Systems

Frank Allgöwer, Christoph Böhm, Marcus Reble, 2010 .

Guaranteed steady-state bounds for uncertain chemical processes

Frank Allgöwer, Philipp Rumschinski, Steffen Borchers, 2009 .

Moving horizon ℓ2 control of LPV systems subject to constraints

Frank Allgöwer, Hong Chen, Shuyou Yu, 2009 .

Training Robust Neural Networks Using Lipschitz Bounds

Frank Allgöwer, Julian Berberich, Patricia Pauli, 2020, IEEE Control Systems Letters.

H∞ control of descriptor systems with high index

Frank Allgöwer, Ansgar Rehm, 1999 .

Nonlinear control of high purity distillation columns

Frank Allgöwer, Ernst Dieter Gilles, Markus Groebel, 1994 .

Identifiability of population models via a measure theoretical approach

Frank Allgöwer, Steffen Waldherr, Shen Zeng, 2014 .

Adaptive λ-Tracking of Nonlinear Systems with Higher Relative Degree Using Reduced-Order High-Gain Control

Eric Bullinger, Frank Allgöwer, Rolf Findeisen, 2001 .

l 0-System Gain and l 1-Optimal Control

Frank Allgöwer, Christian Ebenbauer, Simone Schuler, 2011 .

Controller Structure Design for Decentralized Control of Coupled Higher Order Subsystems

Frank Allgöwer, Ulrich Münz, Wenliang Zhou, 2010 .

Avoidance of Poorly Observable Trajectories: A Predictive Control Perspective

Frank Allgöwer, Rolf Findeisen, Christoph Böhm, 2008 .

Approximate I/O-Linearization of Nonlinear Systems

Frank Allgöwer, Francis J. Doyle, F. Doyle, 1998 .

Robust Stabilization and H ∞ Control of Uncertain Distributed Delay Systems

Frank Allgöwer, Ulrich Münz, Jochen M. Rieber, 2009 .

Clock synchronization over directed graphs

Frank Allgöwer, Georg S. Seyboth, F. Allgöwer, 2013, 52nd IEEE Conference on Decision and Control.

On State-Constrained Control of a CSTR*

Martin Guay, Frank Allgöwer, Mathias Bürger, 2011 .

ON COMPLEXITY ISSUES IN MULTIOBJECTIVE CONTROLLER DESIGN USING CONVEX OPTIMIZATION

Frank Allgöwer, Carsten W. Scherer, Jochen M. Rieber, 2006 .

Spacecraft Rate Damping with Predictive Control Using Magnetic Actuators Only

Frank Allgöwer, Walter Fichter, Christoph Böhm, 2009 .

Numerical Evaluation of a Robust Self-Triggered MPC Algorithm*

Frank Allgöwer, Wpmh Maurice Heemels, Florian D. Brunner, 2016 .

Output Feedback Stabilization with Nonlinear Predictive Control: Asymptotic properties

Frank Allgöwer, Rolf Findeisen, Bjarne A. Foss, 2003 .

A Nonlinear Synchronization Scheme for Hindmarsh-Rose Models

Frank Allgöwer, Jung-Su Kim, F. Allgöwer, 2010 .

Nonlinear Model Predictive Control for Path Following Problems

Frank Allgöwer, Xiang Li, Hong Chen, 2012 .

ROBUST TWO-DEGREE-OF-FREEDOM CONTROL OF AN ATOMIC FORCE MICROSCOPE

Frank Allgöwer, Georg Schitter, Andreas Stemmer, 2008 .

Trends in Theory of Control System Design Status report prepared by the IFAC Coordinating Committee on Design Methods

Patrizio Colaneri, Frank Allgöwer, Luc Dugard, 2008 .

Nonlinear Model Predictive Control and Sum of Squares Techniques

Frank Allgöwer, Rolf Findeisen, Christian Ebenbauer, 2006 .

Nonlinearity quantification for the optimal state feedback controller

Frank Allgöwer, Tobias Schweickhardt, Frank J. Doyle, 2003, 2003 European Control Conference (ECC).

Dual-mode adaptive control of nonlinear processes

Frank Allgöwer, Babatunde A. Ogunnaike, F. Allgöwer, 1997 .

ℓ0-System Gain and ℓ1-Optimal Control

Frank Allgöwer, Christian Ebenbauer, Simone Schuler, 2011 .

Sampled-Data Nonlinear Model Predictive Control for Constrained Continuous Time Systems

Frank Allgöwer, Rolf Findeisen, Tobias Raff, 2007 .

Stabilization using sampled-data open-loop feedback - A nonlinear model predictive control perspective

Frank Allgöwer, Rolf Findeisen, F. Allgöwer, 2004 .

Bone remodelling: A combined biomechanical and systems‐biological challenge

Frank Leymann, Dimka Karastoyanova, Frank Allgöwer, 2011 .

Piecewise constant high-gain adaptive λ-tracking for higher relative degree linear systems

Eric Bullinger, Frank Allgöwer, Achim Ilchmann, 1999 .

Set-based Disturbance Attenuation in Economic Model Predictive Control

Frank Allgöwer, Matthias A. Müller, Florian A. Bayer, 2014 .

Preference Based Group Agreement in Cooperative Control

Frank Allgöwer, Mathias Bürger, Gerd S. Schmidt, 2010 .

Robust Stability of Distributed Delay Systems

Frank Allgöwer, Ulrich Münz, Jochen M. Rieber, 2008 .

Adaptive Model Predictive Control with Robust Constraint Satisfaction

Frank Allgöwer, Mark Cannon, Matthias Lorenzen, 2017 .

Guaranteed steady state bounds for uncertain (bio-)chemical processes using infeasibility certificates

Frank Allgöwer, Philipp Rumschinski, Steffen Borchers, 2010 .

LMI-Based Model Predictive Control for Linear Discrete-Time Periodic Systems

Frank Allgöwer, Tobias Raff, Christoph Böhm, 2009 .

On Synchronous Steady States and Internal Models of Diffusively Coupled Systems

Frank Allgöwer, Peter Wieland, 2010 .

Wound-healing growth factor, basic FGF, induces Erk1/2-dependent mechanical hyperalgesia

Frank Allgöwer, Elizabeth K. Joseph, Jan Hasenauer, 2013, PAIN®.

Enlarging the Terminal Region of NMPC with Parameter-Dependent Terminal Control Law

Frank Allgöwer, Hong Chen, Shuyou Yu, 2009 .

Journal of Process Control: Guest Editorial

Frank Allgöwer, Daniel E. Rivera, T. Ogunnaike, 2001 .

Nonlinearity measures: definition, computation and applications

Frank Allgöwer, Wolfgang Marquardt, A. Helbig, 2000 .

A computationally attractive nonlinear predictive control scheme with guaranteed stability for stable systems

Frank Allgöwer, Hong Chen, F. Allgöwer, 1998 .

Selective averaging with application to phase reduction and neural control

Frank Allgöwer, Jeff Moehlis, Dan Wilson, 2014 .

Modeling Cofilin Mediated Regulation of Cell Migration as a Biochemical Two-Input Switch

Frank Allgöwer, Steffen Waldherr, Christian Breindl, 2010 .

Design of Structured Static Output Feedback Controllers

Frank Allgöwer, Ulrich Münz, Simone Schuler, 2011 .