G. Pannocchia

发表

Existence and computation of infinite horizon model predictive control with active steady-state input constraints

Stephen J. Wright, Gabriele Pannocchia, James B. Rawlings, 2003, IEEE Trans. Autom. Control..

Conditions under which suboptimal nonlinear MPC is inherently robust

Stephen J. Wright, Gabriele Pannocchia, James B. Rawlings, 2011, Syst. Control. Lett..

Cooperative distributed model predictive control

Stephen J. Wright, Gabriele Pannocchia, James B. Rawlings, 2010, Syst. Control. Lett..

Fast, large-scale model predictive control by partial enumeration

Stephen J. Wright, Gabriele Pannocchia, James B. Rawlings, 2007, Autom..

Efficient Cooperative Distributed MPC using Partial Enumeration* *This work was supported by National Science Foundation (Grant CTS-0456694)

Stephen J. Wright, Gabriele Pannocchia, James B. Rawlings, 2009 .

Comparison of input signals in subspace identification of multivariable ill-conditioned systems

G. Pannocchia, Andrea Micchi, 2008 .

Offset-free MPC explained: novelties, subtleties, and applications

G. Pannocchia, M. Gabiccini, Alessio Artoni, 2015 .

Inherently robust suboptimal nonlinear MPC: Theory and application

Stephen J. Wright, Gabriele Pannocchia, James B. Rawlings, 2011, IEEE Conference on Decision and Control and European Control Conference.

Addendum to the paper \Inherently robust suboptimal nonlinear MPC: theory and application"

Stephen J. Wright, J. Rawlings, G. Pannocchia, 2011 .

Whither Discrete Time Model Predictive Control?

David Q. Mayne, Gabriele Pannocchia, James B. Rawlings, 2015, IEEE Transactions on Automatic Control.

Closed-Loop PARSIMonious Subspace Identification: Theory and Application to MPC

G. Pannocchia, Mirco Calosi, 2010 .

A predictor form PARSIMonious algorithm for closed-loop subspace identification

Mirco Calosi, Gabriele Pannocchia, G. Pannocchia, 2010 .

Simulation studies on online constraint removal with a Lyapunov function

Gabriele Pannocchia, Martin Monnigmann, Michael Jost, 2014, 1411.0981.

On the use of Nonlinear Model Predictive Control for pharmacological therapy optimization

G. Pannocchia, M. Laurino, A. Landi, 2010, 2010 IEEE Workshop on Health Care Management (WHCM).

Computation of the Infinite Horizon Continuous Time Constrained Linear Quadratic Regulator

D. Mayne, J. Rawlings, W. Marquardt, 2009 .

Advanced Process Models for Biomass Gasifiers

G. Pannocchia, L. Tognotti, E. Biagini, 2010 .

Biomethane Production: Mass and Energy Balances of Alternative Supply Chains

Andrea Luca Tasca, G. Pannocchia, C. Scali, 2019, Industrial & Engineering Chemistry Research.

Development of Gasifier Models for Hydrogen Production Optimization

Enrico Biagini, Leonardo Tognotti, Gabriele Pannocchia, 2009 .

Partial Enumeration MPC: Robust Stability Results and Application to an Unstable CSTR

Stephen J. Wright, J. Rawlings, G. Pannocchia, 2010 .

Experimental and Modeling Studies on High-Temperature Capture of CO2 Using Lithium Zirconate Based Sorbents

G. Pannocchia, S. Vitolo, M. Puccini, 2007 .

Prediction of coal ash thermal properties using Partial Least Squares Regression

Gabriele Pannocchia, Maurizia Seggiani, G. Pannocchia, 2003 .

Is suboptimal nonlinear MPC inherently robust

Stephen J. Wright, Gabriele Pannocchia, James B. Rawlings, 2011 .

Addendum to the paper \Is suboptimal nonlinear MPC inherently robust?"

Stephen J. Wright, J. Rawlings, G. Pannocchia, 2011 .

Distributed Model Predictive Control

G. Pannocchia, 2015, Encyclopedia of Systems and Control.

ON TEST DESIGN FOR SUBSPACE IDENTIFICATION OF MULTIVARIABLE ILL-CONDITIONED SYSTEMS

G. Pannocchia, Andrea Micchi, 2007 .

Optimally Managing Chemical Plant Operations: An Example Oriented by Industry 4.0 Paradigms

Leonardo Tognotti, Gabriele Pannocchia, Marco Vaccari, 2021 .

Disturbance models for offset‐free model‐predictive control

Gabriele Pannocchia, James B. Rawlings, J. Rawlings, 2003 .

Robustness of MPC and Disturbance Models for Multivariable Ill-conditioned Processes

Gabriele Pannocchia, James B. Rawlings, J. Rawlings, 2001 .

A Model Predictive Control Strategy Toward Optimal Structured Treatment Interruptions in Anti-HIV Therapy

Gabriele Pannocchia, Alberto Landi, Marco Laurino, 2010, IEEE Transactions on Biomedical Engineering.

Handbook of Model Predictive Control [Bookshelf]

Gabriele Pannocchia, G. Pannocchia, 2020, IEEE Control Systems.

A Divide and Conquer Approach to Cooperative Distributed Model Predictive Control pdf

Lilantha Samaranayake, Gabriele Pannocchia, Stefano Longo, 2017, ArXiv.

Offset‐free receding horizon control of constrained linear systems

Eric C. Kerrigan, Gabriele Pannocchia, E. Kerrigan, 2005 .

Accelerating linear model predictive control by constraint removal

Martin Mönnigmann, Gabriele Pannocchia, Michael Jost, 2017, Eur. J. Control.

Assessing the speed-up achievable by online constraint removal in MPC

Martin Mönnigmann, Gabriele Pannocchia, Michael Jost, 2015, 2015 European Control Conference (ECC).

Online constraint removal: Accelerating MPC with a Lyapunov function

Martin Mönnigmann, Gabriele Pannocchia, Michael Jost, 2015, Autom..

On Computing Solutions to the Continuous Time Constrained Linear Quadratic Regulator $ $

David Q. Mayne, Gabriele Pannocchia, James B. Rawlings, 2010, IEEE Transactions on Automatic Control.

The Partial Enumeration Method for Model Predictive Control: Algorithm and Examples

Gabriele Pannocchia, James B. Rawlings, J. Rawlings, 2006 .

A parsimonious algorithm for the solution of continuous-time constrained LQR problems with guaranteed convergence

David Q. Mayne, Gabriele Pannocchia, James B. Rawlings, 2013, 2013 European Control Conference (ECC).

Reducing the computational effort of MPC with closed-loop optimal sequences of affine laws

G. Pannocchia, M. Mönnigmann, 2020 .

Decentralized Robust Model Predictive Control for Multi-Input Linear Systems

Mohammad Haeri, Gabriele Pannocchia, Saeed Adelipour, 2018, 2018 UKACC 12th International Conference on Control (CONTROL).

On the maximal controller gain in linear MPC

Martin Mönnigmann, Gabriele Pannocchia, Moritz Schulze Darup, 2017 .

Constraint removal in linear MPC: An improved criterion and complexity analysis

Martin Mönnigmann, Gabriele Pannocchia, Michael Jost, 2016, 2016 European Control Conference (ECC).

On the use of suboptimal solvers for efficient cooperative distributed linear MPC

Stephen J. Wright, Gabriele Pannocchia, James B. Rawlings, 2014 .

Partial enumeration MPC: Robust stability results and application to an unstable CSTR

Stephen J. Wright, Gabriele Pannocchia, James B. Rawlings, 2011 .

Suboptimal MPC and partial enumeration: robust stability and computational performance

Stephen J. Wright, Gabriele Pannocchia, James B. Rawlings, 2010 .

A Candidate to Replace PID Control: SISO-Constrained LQ Control

Gabriele Pannocchia, James B. Rawlings, Nabil Laachi, 2005 .

Robust model predictive control with guaranteed setpoint tracking

Gabriele Pannocchia, G. Pannocchia, 2004 .

A Fast, Easily Tuned, SISO, Model Predictive Controller

Gabriele Pannocchia, James B. Rawlings, Nabil Laachi, 2004 .

Offset-free control of constrained linear discrete-time systems subject to persistent unmeasured disturbances

Eric C. Kerrigan, Gabriele Pannocchia, E. Kerrigan, 2003, 42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475).

Observer-based offset-free internal model control

Gabriele Pannocchia, William P. Heath, G. Pannocchia, 2017 .

Offset-free IMC with generalized disturbance models

Gabriele Pannocchia, William P. Heath, G. Pannocchia, 2020, Autom..

A new formulation of Economic Model Predictive Control without terminal constraint

Mazen Alamir, Gabriele Pannocchia, G. Pannocchia, 2020, Autom..

Implementation of an economic MPC with robustly optimal steady-state behavior

Gabriele Pannocchia, Marco Vaccari, G. Pannocchia, 2018 .

An economic MPC formulation with offset-free asymptotic performance

Gabriele Pannocchia, G. Pannocchia, 2018 .

A valve stiction tolerant formulation of MPC for industrial processes

Gabriele Pannocchia, Riccardo Bacci di Capaci, Marco Vaccari, 2017 .

A Modifier-Adaptation Strategy towards Offset-Free Economic MPC

Gabriele Pannocchia, Marco Vaccari, G. Pannocchia, 2016 .

Prediction Error Based Performance Monitoring, Degradation Diagnosis and Remedies in Offset‐Free MPC: Theory and Applications

Gabriele Pannocchia, A. I. De Luca, M. Bottai, 2014 .

MPC performance monitoring of a rigorously simulated industrial process

Gabriele Pannocchia, Michele Bottai, Andrea De Luca, 2013 .

Achieving a large domain of attraction with short-horizon linear MPC via polyhedral Lyapunov functions

Sergio Grammatico, Gabriele Pannocchia, G. Pannocchia, 2013, 2013 European Control Conference (ECC).

Application of a Method to Diagnose the Source of Performance Degradation in Mpc Systems

Gabriele Pannocchia, A. I. De Luca, M. Bottai, 2013 .

Performance degradation diagnosis and remedies in offset-free MPC

Gabriele Pannocchia, Andrea De Luca, G. Pannocchia, 2012, 2012 American Control Conference (ACC).

A Multivariable Approach for Control System Optimization of IGCC with CCS in DECAR Bit Project

Gabriele Pannocchia, Alessio Bardi, G. Pannocchia, 2012 .

Cooperative, distributed model predictive control for managing resource coupled constraints

Gabriele Pannocchia, Jb Rawlings, Bt Stewart, 2009 .

How auxiliary variables and plant data collection affect closed-loop performance of inferential control

Gabriele Pannocchia, Alessandro Brambilla, G. Pannocchia, 2007 .

Model predictive control for optimal oral anticoagulant drug administration

Gabriele Pannocchia, Alessandro Brambilla, G. Pannocchia, 2006 .

RIGOROUS SIMULATION AND MODEL PREDICTIVE CONTROL OF A CRUDE DISTILLATION UNIT

Gabriele Pannocchia, Alessandro Brambilla, Lorenzo Gallinelli, 2006 .

MULTIVARIABLE SUBSPACE IDENTIFICATION AND PREDICTIVE CONTROL OF A HEAT-INTEGRATED SUPERFRACTIONATOR RIGOROUS MODEL

Gabriele Pannocchia, Alessandro Brambilla, G. Marchetti, 2006 .

System identification applied to stiction quantification in industrial control loops: A comparative study ☆

Gabriele Pannocchia, Claudio Scali, Riccardo Bacci di Capaci, 2016 .

Identification techniques for stiction quantification in the presence of nonstationary disturbances

Gabriele Pannocchia, Claudio Scali, Riccardo Bacci di Capaci, 2015 .

An Open-Source System Identification Package for Multivariable Processes

Gabriele Pannocchia, Marco Vaccari, Giuseppe Armenise, 2018, 2018 UKACC 12th International Conference on Control (CONTROL).

Distributed model predictive control for energy management in a network of microgrids using the dual decomposition method

Gabriele Pannocchia, Emanuele Crisostomi, Lucia Pallottino, 2019, Optimal Control Applications and Methods.

Robust Disturbance Modeling for Model Predictive Control with Application to Multivariable Ill-conditioned Processes

Gabriele Pannocchia, G. Pannocchia, 2003 .

A Computational Framework for Environment-Aware Robotic Manipulation Planning

Gabriele Pannocchia, Joris Gillis, Alessio Artoni, 2015, ISRR.

Implementation of an Industry 4.0 system to optimally manage chemical plant operation

G. Pannocchia, L. Tognotti, E. Brunazzi, 2020 .

Data-driven Nonlinear MPC using Dynamic Response Surface Methodology

Gabriele Pannocchia, Christos Georgakis, Federico Pelagagge, 2021, IFAC-PapersOnLine.

Combined Design of Disturbance Model and Observer for Offset-Free Model Predictive Control

Alberto Bemporad, Gabriele Pannocchia, A. Bemporad, 2007, IEEE Transactions on Automatic Control.

Optimal Priority Assignment to Control Tasks

Enrico Bini, Gabriele Pannocchia, Giulio M. Mancuso, 2014, TECS.

Model predictive control design for multivariable processes in the presence of valve stiction

Gabriele Pannocchia, Riccardo Bacci di Capaci, Marco Vaccari, 2018, Journal of Process Control.

Offset-Free Economic MPC Based on Modifier Adaptation: Investigation of Several Gradient-Estimation Techniques

Dominique Bonvin, Gabriele Pannocchia, Marco Vaccari, 2021 .

Offset-free tracking MPC: A tutorial review and comparison of different formulations

Gabriele Pannocchia, G. Pannocchia, 2015, 2015 European Control Conference (ECC).

Identification and experimental validation of an HIV model for HAART treated patients

Gabriele Pannocchia, Alberto Landi, Marco Laurino, 2013, Comput. Methods Programs Biomed..

Vision-based Model Predictive Control for Unmanned Aerial Vehicles Automatic Trajectory Generation and Tracking

Mario Innocenti, Gabriele Pannocchia, Lorenzo Pollini, 2019, AIAA Scitech 2019 Forum.

A rigorous simulation model of geothermal power plants for emission control

G. Pannocchia, R. Bonciani, M. Paci, 2020 .

Analytical RTO for a critical distillation process based on offline rigorous simulation

G. Pannocchia, A. Brambilla, M. Vaccari, 2022, IFAC-PapersOnLine.

Analysis and simulation of an industrial vegetable oil refining process

Gabriele Landucci, Gabriele Pannocchia, Luigi Pelagagge, 2013 .

Development of an Entrained Flow Gasifier Model for Process Optimization Study

Enrico Biagini, Leonardo Tognotti, Gabriele Pannocchia, 2009 .

Rigorous simulation of geothermal power plants to evaluate environmental performance of alternative configurations

G. Pannocchia, M. Paci, L. Tognotti, 2023, Renewable Energy.

An Integrated Approach to the Hydrothermal Carbonization of Sewage Sludge: Simulation, Modeling, and Life Cycle Assessment

G. Pannocchia, S. Vitolo, M. Puccini, 2023, ChemEngineering.

A Sequential Linear Programming algorithm for economic optimization of Hybrid Renewable Energy Systems

Gabriele Pannocchia, Marco Vaccari, Giulio M. Mancuso, 2017, Journal of Process Control.

Process Optimization of Hydrogen Production from CoalGasification

G. Pannocchia, L. Tognotti, E. Biagini, 2006 .

Parsimonious cooperative distributed MPC algorithms for offset-free tracking

Gabriele Pannocchia, Matteo Razzanelli, G. Pannocchia, 2017 .