Panagiotis Patrinos

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A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems pdf

Masoud Ahookhosh, Nicolas Gillis, Panagiotis Patrinos, 2020, ArXiv.

Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing

Panagiotis Patrinos, Haralambos Sarimveis, Philip Doganis, 2006 .

Asymmetric forward–backward–adjoint splitting for solving monotone inclusions involving three operators

Panagiotis Patrinos, Puya Latafat, Panagiotis Patrinos, 2016, Comput. Optim. Appl..

Stochastic economic model predictive control for Markovian switching systems

Alberto Bemporad, Pantelis Sopasakis, Panagiotis Patrinos, 2016 .

A simple and efficient algorithm for nonlinear model predictive control

Pantelis Sopasakis, Panagiotis Patrinos, Andreas Themelis, 2017, 2017 IEEE 56th Annual Conference on Decision and Control (CDC).

Robust optimal control: calculation of the explicitcontrol law combining dynamic programming and multiparametric optimization

Panagiotis Patrinos, Haralambos Sarimveis, 2007 .

Model Predictive Control for Linear Impulsive Systems

Alberto Bemporad, Pantelis Sopasakis, Panagiotis Patrinos, 2015, IEEE Trans. Autom. Control..

A Convex Feasibility Approach to Anytime Model Predictive Control pdf

Alberto Bemporad, Panagiotis Patrinos, Daniele Bernardini, 2015, ArXiv.

A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings

Panagiotis Patrinos, Haralambos Sarimveis, Panagiotis Patrinos, 2010, Autom..

Multi-block Bregman proximal alternating linearized minimization and its application to orthogonal nonnegative matrix factorization pdf

Masoud Ahookhosh, Nicolas Gillis, Panagiotis Patrinos, 2019, Computational Optimization and Applications.

Stabilizing Linear Model Predictive Control Under Inexact Numerical Optimization

Alberto Bemporad, Panagiotis Patrinos, Matteo Rubagotti, 2014, IEEE Transactions on Automatic Control.

Forward–backward quasi-Newton methods for nonsmooth optimization problems

Panagiotis Patrinos, Andreas Themelis, Lorenzo Stella, 2016, Computational Optimization and Applications.

Multidisciplinary Learning through Implementation of the DVB-S2 Standard

Marian Verhelst, Sofie Pollin, Patrick Wambacq, 2017, IEEE Communications Magazine.

A new envelope function for nonsmooth DC optimization

Panagiotis Patrinos, Andreas Themelis, Ben Hermans, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Stochastic gradient methods for stochastic model predictive control

Alberto Bemporad, Panagiotis Patrinos, Silvia Villa, 2016, 2016 European Control Conference (ECC).

Douglas-Rachford Splitting and ADMM for Nonconvex Optimization: Tight Convergence Results

Panagiotis Patrinos, Andreas Themelis, Panagiotis Patrinos, 2017, SIAM J. Optim..

Data-driven distributionally robust LQR with multiplicative noise

Panagiotis Patrinos, Mathijs Schuurmans, Peter Coppens, 2019, L4DC.

AN RBF BASED NEURO-DYNAMIC APPROACH FOR THE CONTROL OF STOCHASTIC DYNAMIC SYSTEMS

Panagiotis Patrinos, Haralambos Sarimveis, 2005 .

A New Randomized Block-Coordinate Primal-Dual Proximal Algorithm for Distributed Optimization

Panagiotis Patrinos, Puya Latafat, Nikolaos M. Freris, 2017, IEEE Transactions on Automatic Control.

An explicit optimal control approach for mean-risk dynamic portfolio allocation

Panagiotis Patrinos, Haralambos Sarimveis, Panagiotis Patrinos, 2007, 2007 European Control Conference (ECC).

Fixed-point constrained Model Predictive Control of spacecraft attitude

Alberto Bemporad, Panagiotis Patrinos, Ilya V. Kolmanovsky, 2015, 2015 American Control Conference (ACC).

Robust model predictive control for optimal continuous drug administration

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2014, Comput. Methods Programs Biomed..

Physiologically Based Pharmacokinetic Modeling and Predictive Control

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2011 .

Constrained Model Predictive Control of spacecraft attitude with reaction wheels desaturation

Alberto Bemporad, Panagiotis Patrinos, Ilya V. Kolmanovsky, 2015, 2015 European Control Conference (ECC).

A global piecewise smooth Newton method for fast large-scale model predictive control

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2011, Autom..

Fixed-point dual gradient projection for embedded model predictive control

Alberto Bemporad, Panagiotis Patrinos, Alberto Guiggiani, 2013, 2013 European Control Conference (ECC).

Optimal versus approximate channel selection methods for EEG decoding with application to topology-constrained neuro-sensor networks

Alexander Bertrand, Panagiotis Patrinos, Abhijith Mundanad Narayanan, 2020 .

Stochastic Model Predictive Control for Constrained Networked Control Systems with Random Time Delay

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2011 .

Data-driven modelling, learning and stochastic predictive control for the steel industry

Alberto Bemporad, Pantelis Sopasakis, Panagiotis Patrinos, 2017, 2017 25th Mediterranean Conference on Control and Automation (MED).

Proximal Newton methods for convex composite optimization

Alberto Bemporad, Panagiotis Patrinos, A. Bemporad, 2013, 52nd IEEE Conference on Decision and Control.

QPALM: A Newton-type Proximal Augmented Lagrangian Method for Quadratic Programs

Panagiotis Patrinos, Andreas Themelis, Ben Hermans, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

MPC for power systems dispatch based on stochastic optimization

Alberto Bemporad, Panagiotis Patrinos, Ion Necoara, 2014 .

Uncertainty-aware demand management of water distribution networks in deregulated energy markets

Alberto Bemporad, Ajay K. Sampathirao, Pantelis Sopasakis, 2018, Environ. Model. Softw..

MPC for Sampled-Data Linear Systems: guaranteeing continuous-time positive invariance

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2014 .

Real‐time model predictive control based on dual gradient projection: Theory and fixed‐point FPGA implementation

Alberto Bemporad, Panagiotis Patrinos, Matteo Rubagotti, 2016 .

Model Predictive Control for Linear Impulsive Systems

Alberto Bemporad, Pantelis Sopasakis, Panagiotis Patrinos, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Microsecond nonlinear model predictive control for DC‐DC converters

Panagiotis Patrinos, Aleksandra Lekic, Ben Hermans, 2020, Int. J. Circuit Theory Appl..

Development of a methodology for the computation of a near-optimal explicit control law for nonlinear systems that are subject to constraints coupling fuzzy model predictive control and multi-parametric programming

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2009 .

Explicit control for nonlinear constrained systems combining fuzzy model predictive control and multiparametricprogramming

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2009 .

Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints pdf

Johan A. K. Suykens, Panagiotis Patrinos, Francesco Tonin, 2020, Neural Networks.

Optimal Dynamic Spectrum Management Algorithms for Multi-User Full-Duplex DSL

Paschalis Tsiaflakis, Panagiotis Patrinos, Wouter Lanneer, 2019, IEEE Access.

Simple and Certifiable Quadratic Programming Algorithms for Embedded Linear Model Predictive Control

Alberto Bemporad, Panagiotis Patrinos, A. Bemporad, 2012 .

SuperSCS: fast and accurate large-scale conic optimization

Pantelis Sopasakis, Panagiotis Patrinos, Krina Menounou, 2019, 2019 18th European Control Conference (ECC).

Accelerated reconstruction of a compressively sampled data stream

Pantelis Sopasakis, Panagiotis Patrinos, Nikolaos M. Freris, 2016, 2016 24th European Signal Processing Conference (EUSIPCO).

Modeling and administration scheduling of fractional-order pharmacokinetic systems

Aris Dokoumetzidis, Pantelis Sopasakis, Panagiotis Patrinos, 2017, 1701.08668.

New primal-dual proximal algorithm for distributed optimization

Panagiotis Patrinos, Puya Latafat, Lorenzo Stella, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

Distributed computing over encrypted data

Panagiotis Patrinos, Nikolaos M. Freris, Panagiotis Patrinos, 2016, 2016 54th Annual Allerton Conference on Communication, Control, and Computing (Allerton).

Aerial navigation in obstructed environments with embedded nonlinear model predictive control

Pantelis Sopasakis, Panagiotis Patrinos, Emil Fresk, 2018, 2019 18th European Control Conference (ECC).

Douglas-rachford splitting: Complexity estimates and accelerated variants

Alberto Bemporad, Panagiotis Patrinos, Lorenzo Stella, 2014, 53rd IEEE Conference on Decision and Control.

Primal-Dual Proximal Algorithms for Structured Convex Optimization: A Unifying Framework

Panagiotis Patrinos, Puya Latafat, Panagiotis Patrinos, 2018 .

Inertial Block Proximal Methods for Non-Convex Non-Smooth Optimization

Nicolas Gillis, Panagiotis Patrinos, Hien Le, 2019, ICML.

MPC for Sampled-Data Linear Systems: Guaranteeing Constraint Satisfaction in Continuous-Time

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2014, IEEE Transactions on Automatic Control.

Two-time-scale MPC for Economically Optimal Real-time Operation of Balance Responsible Parties

Alberto Bemporad, Panagiotis Patrinos, Daniele Bernardini, 2012 .

Derivation of a feedback control law in explicit form for nonlinear systems coupling Fuzzy Model Predictive Control and multi-parametric programming

Pantelis Sopasakis, Panagiotis Patrinos, Haralambos Sarimveis, 2008 .

A dual gradient-projection algorithm for model predictive control in fixed-point arithmetic

Alberto Bemporad, Panagiotis Patrinos, Alberto Guiggiani, 2015, Autom..

Risk-averse risk-constrained optimal control

Pantelis Sopasakis, Panagiotis Patrinos, Mathijs Schuurmans, 2019, 2019 18th European Control Conference (ECC).

Variable Selection in Nonlinear Modeling Based on RBF Networks and Evolutionary Computation

Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis, 2010, Int. J. Neural Syst..

Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach

Pantelis Sopasakis, Panagiotis Patrinos, Mathijs Schuurmans, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

A primal-dual line search method and applications in image processing

Johan A. K. Suykens, Pantelis Sopasakis, Panagiotis Patrinos, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

A Penalty Method Based Approach for Autonomous Navigation using Nonlinear Model Predictive Control

Goele Pipeleers, Panagiotis Patrinos, Ben Hermans, 2018, 1805.02524.

QPALM: A Proximal Augmented Lagrangian Method for Nonconvex Quadratic Programs.

Panagiotis Patrinos, Andreas Themelis, Ben Hermans, 2020 .

Learning-Based Risk-Averse Model Predictive Control for Adaptive Cruise Control with Stochastic Driver Models pdf

Panagiotis Patrinos, Alexander Katriniok, Mathijs Schuurmans, 2020, ArXiv.

Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-Dual Proximal Algorithm

Alberto Bemporad, Panagiotis Patrinos, Puya Latafat, 2018, 2018 European Control Conference (ECC).

On the Convexity of Bit Depth Allocation for Linear MMSE Estimation in Wireless Sensor Networks

Alexander Bertrand, Panagiotis Patrinos, Marian Verhelst, 2020, IEEE Signal Processing Letters.

Risk-averse model predictive control

Alberto Bemporad, Pantelis Sopasakis, Panagiotis Patrinos, 2017, Autom..

Optimal versus approximate channel selection methods for EEG decoding with application to topology-constrained neuro-sensor networks.

Alexander Bertrand, Panagiotis Patrinos, Abhijith Mundanad Narayanan, 2020, IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.

Forward-Backward Envelope for the Sum of Two Nonconvex Functions: Further Properties and Nonmonotone Linesearch Algorithms

Panagiotis Patrinos, Andreas Themelis, Lorenzo Stella, 2016, SIAM J. Optim..

Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type algorithms

Panagiotis Patrinos, Andreas Themelis, Lorenzo Stella, 2020 .

Stabilizing embedded MPC with computational complexity guarantees

Alberto Bemporad, Panagiotis Patrinos, Matteo Rubagotti, 2013, 2013 European Control Conference (ECC).

Proximal Gradient Algorithms: Applications in Signal Processing

Toon van Waterschoot, Panagiotis Patrinos, Lorenzo Stella, 2017 .

Distributed solution of stochastic optimal control problems on GPUs

Alberto Bemporad, Ajay K. Sampathirao, Pantelis Sopasakis, 2015, 2015 54th IEEE Conference on Decision and Control (CDC).

Stochastic model predictive control for constrained discrete-time Markovian switching systems

Alberto Bemporad, Pantelis Sopasakis, Panagiotis Patrinos, 2014, Autom..

SuperMann: A Superlinearly Convergent Algorithm for Finding Fixed Points of Nonexpansive Operators

Panagiotis Patrinos, Andreas Themelis, Panagiotis Patrinos, 2016, IEEE Transactions on Automatic Control.

A Semi-Parametric Non-linear Neural Network Filter: Theory and Empirical Evidence

Panagiotis Patrinos, Panayotis G. Michaelides, Efthymios G. Tsionas, 2016, Computational Economics.

Dynamic modeling and control of supply chain systems: A review

Christos D. Tarantilis, Chris T. Kiranoudis, Panagiotis Patrinos, 2008, Comput. Oper. Res..

Development of nonlinear quantitative structure-activity relationships using RBF networks and evolutionary computing

Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis, 2004 .

Neural network model-based paper machine marginal cost curves

Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis, 2005 .

OpEn: Code Generation for Embedded Nonconvex Optimization pdf

Panagiotis Patrinos, Emil Fresk, Pantelis Sopasakis, 2020, IFAC-PapersOnLine.

Optimal production scheduling for dairy industries

Panagiotis Patrinos, Haralambos Sarimveis, Philip Doganis, 2005 .

Nonlinear Model Predictive Control for Distributed Motion Planning in Road Intersections Using PANOC

Pantelis Sopasakis, Panagiotis Patrinos, Alexander Katriniok, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

Douglas-Rachford splitting and ADMM for nonconvex optimization: new convergence results and accelerated versions

Panagiotis Patrinos, Andreas Themelis, Lorenzo Stella, 2017 .

Sample Complexity of Data-Driven Stochastic LQR with Multiplicative Uncertainty

Panagiotis Patrinos, Peter Coppens, Panagiotis Patrinos, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Risk-Averse Model Predictive Operation Control of Islanded Microgrids

Panagiotis Patrinos, Jorg Raisch, Christian A. Hans, 2018, IEEE Transactions on Control Systems Technology.

Multi-agent structured optimization over message-passing architectures with bounded communication delays

Panagiotis Patrinos, Puya Latafat, Panagiotis Patrinos, 2018, 2018 IEEE Conference on Decision and Control (CDC).

A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models

Panagiotis Patrinos, Haralambos Sarimveis, Alex Alexandridis, 2005 .

Fixed-Point Implementation of a Proximal Newton Method for Embedded Model Predictive Control

Alberto Bemporad, Panagiotis Patrinos, Alberto Guiggiani, 2014 .

An accelerated dual gradient-projection algorithm for linear model predictive control

Alberto Bemporad, Panagiotis Patrinos, 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility

Panagiotis Patrinos, Mathijs Schuurmans, Panagiotis Patrinos, 2020, 2020 59th IEEE Conference on Decision and Control (CDC).

Inertial Block Mirror Descent Method for Non-Convex Non-Smooth Optimization

Nicolas Gillis, Panagiotis Patrinos, Le Thi Khanh Hien, 2019, 1903.01818.

Stochastic MPC for real-time market-based optimal power dispatch

Alberto Bemporad, Panagiotis Patrinos, Sergio Trimboli, 2011, IEEE Conference on Decision and Control and European Control Conference.

Embedded nonlinear model predictive control for obstacle avoidance using PANOC

Goele Pipeleers, Pantelis Sopasakis, Panagiotis Patrinos, 2018, 2018 European Control Conference (ECC).

Multi-Pattern Recognition Through Maximization of Signal-to-Peak-Interference Ratio With Application to Neural Spike Sorting

Panagiotis Patrinos, Fabian Kloosterman, Alexander Bertrand, 2020, IEEE Transactions on Signal Processing.

Newton-Type Alternating Minimization Algorithm for Convex Optimization

Panagiotis Patrinos, Andreas Themelis, Lorenzo Stella, 2018, IEEE Transactions on Automatic Control.

A Quadratically Convergent Proximal Algorithm For Nonnegative Tensor Decomposition

Nico Vervliet, Panagiotis Patrinos, Andreas Themelis, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).

Convex parametric piecewise quadratic optimization: Theory and algorithms

Panagiotis Patrinos, Haralambos Sarimveis, Panagiotis Patrinos, 2011, Autom..

A proximal alternating minimization method for ℓ0-regularized nonlinear optimization problems: application to state estimation

Panagiotis Patrinos, Ion Necoara, Andrei Patrascu, 2014, 53rd IEEE Conference on Decision and Control.

An Accelerated Dual Gradient-Projection Algorithm for Embedded Linear Model Predictive Control

Alberto Bemporad, Panagiotis Patrinos, A. Bemporad, 2014, IEEE Transactions on Automatic Control.

Data-Driven Distributionally Robust MPC for Constrained Stochastic Systems

Panagiotis Patrinos, Peter Coppens, Panagiotis Patrinos, 2021, IEEE Control Systems Letters.

Data-driven distributionally robust control of partially observable jump linear systems pdf

Panagiotis Patrinos, Mathijs Schuurmans, Panagiotis Patrinos, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

A Bregman Forward-Backward Linesearch Algorithm for Nonconvex Composite Optimization: Superlinear Convergence to Nonisolated Local Minima

Masoud Ahookhosh, Panagiotis Patrinos, Andreas Themelis, 2020, SIAM J. Optim..

Block Alternating Bregman Majorization Minimization with Extrapolation pdf

Masoud Ahookhosh, Nicolas Gillis, Panagiotis Patrinos, 2021, SIAM J. Math. Data Sci..

Lasry-Lions Envelopes and Nonconvex Optimization: A Homotopy Approach

Panagiotis Patrinos, Andreas Themelis, Miguel Simoes, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Conjugate dualities for relative smoothness and strong convexity under the light of generalized convexity

Panagiotis Patrinos, Andreas Themelis, Emanuel Laude, 2021 .

Neural Network Training as an Optimal Control Problem : — An Augmented Lagrangian Approach —

Panagiotis Patrinos, Puya Latafat, Andreas Themelis, 2021, 2021 60th IEEE Conference on Decision and Control (CDC).

A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems pdf

Panagiotis Patrinos, Mathijs Schuurmans, 2021, ArXiv.

Bregman Finito/MISO for nonconvex regularized finite sum minimization without Lipschitz gradient continuity

Masoud Ahookhosh, Panagiotis Patrinos, Puya Latafat, 2021 .

Learning MPC for Interaction-Aware Autonomous Driving: A Game-Theoretic Approach

Panagiotis Patrinos, Mathijs Schuurmans, Brecht Evens, 2021 .

A penalty method for nonlinear programs with set exclusion constraints

Goele Pipeleers, Panagiotis Patrinos, Ben Hermans, 2021, Autom..

Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization pdf

Panagiotis Patrinos, Mathijs Schuurmans, Pieter Pas, 2021, ArXiv.

Massively parallelizable proximal algorithms for large‐scale stochastic optimal control problems

Alberto Bemporad, Ajay K. Sampathirao, Pantelis Sopasakis, 2021, Optimal Control Applications and Methods.

Bregman forward-backward splitting for nonconvex composite optimization: superlinear convergence to nonisolated critical points

Masoud Ahookhosh, Panagiotis Patrinos, Andreas Themelis, 2019, 1905.11904.

Reliability and efficiency for market parties in power systems

Alberto Bemporad, Panagiotis Patrinos, Daniele Bernardini, 2013, 2013 10th International Conference on the European Energy Market (EEM).