Panos Patrinos – Publications
2022
Sim2real for Autonomous Vehicle Control using Executable Digital Twin
J.P. Allamaa, P. Patrinos, H. Van der Auweraer, T.D. Son
Safe, Learning-Based MPC for Highway Driving under Lane-Change Uncertainty: A Distributionally Robust Approach
M. Schuurmans, A. Katriniok, C. Meissen, H.E. Tseng, P. Patrinos
Safe learning LQR of linear dynamics with multiplicative noise
P. Coppens, P. Patrinos
SPIRAL: A Superlinearly Convergent Incremental Proximal Algorithm for Nonconvex Finite Sum Minimization
P. Behmandpoor, P. Latafat, A. Themelis, M. Moonen, P. Patrinos
Tensor-based Multi-view Spectral Clustering via Shared Latent Space
Q. Tao, F. Tonin, P. Patrinos, J. Suykens
Block-coordinate and incremental aggregated nonconvex proximal gradient methods: a unified view
Mathematical Programming, vol. 193, pp. 195–224, 2022
P. Latafat, A. Themelis, P. Patrinos
QPALM: A Proximal Augmented Lagrangian Method for Nonconvex Quadratic Programs
Mathematical Programming Computation, 2022
B. Hermans, A. Themelis, P. Patrinos
Douglas-Rachford splitting and ADMM for nonconvex optimization: Accelerated and Newton-type algorithms
Computational Optimization and Applications, vol. 82, pp. 395–440, 2022
A. Themelis, L. Stella, P. Patrinos
Primal-dual algorithms for multi-agent structured optimization over message-passing architectures with bounded communication delays
Optimization Methods & Software, 2022
P. Latafat, P. Patrinos
Tight convergence rates of the gradient method on hypoconvex functions
T. Rotaru, F. Glineur, and P. Patrinos
Learning-based resource allocation with dynamic data rate constraints
47th International Conference on Acoustics, Speech, & Signal Processing (ICASSP), 2022
P. Behmandpoor, P. Patrinos, M. Moonen
Alpaqa: A matrix-free solver for nonlinear MPC and large-scale nonconvex optimization
European Control Conference (ECC), 2022
P. Pas, M. Schuurmans, P. Patrinos
Learning MPC for interaction-aware autonomous driving: A game-theoretic approach
European Control Conference (ECC), 2022
B. Evens, M. Schuurmans, P. Patrinos,
Escaping limit cycles: Global convergence for constrained nonconvex-nonconcave minimax problems
10th International Conference on Learning Representations (ICLR 2022), spotlight
T. Pethick, P. Latafat, P. Patrinos, O. Fercoq, V. Cevher
Block Alternating Bregman Majorization Minimization with Extrapolation
SIAM Journal on Mathematics of Data Science, vol. 4, no. 1, pp. 1-25
L.T.K. Hien, D.N. Phan, N. Gillis, M. Ahookhosh, P. Patrinos
2021
Conjugate dualities for relative smoothness and strong convexity under the light of generalized convexity
E. Laude, A. Themelis, P. Patrinos
Unsupervised learning of disentangled representations in deep restricted kernel machines with orthogonality constraints
Neural Networks
F. Tonin, P. Patrinos, J.A.K. Suykens
Data-driven distributionally robust MPC for constrained stochastic systems
IEEE Control Systems Letters
P. Coppens, P. Patrinos
A block inertial Bregman proximal algorithm for nonsmooth nonconvex problems with application to symmetric nonnegative matrix tri-factorization
Journal of Optimization Theory and Applications
M. Ahookhosh, L.T.K. Hien, N. Gillis and P. Patrinos
Multi-block Bregman proximal alternating linearized minimization and its application to sparse orthogonal nonnegative matrix factorization
Computational Optimization and Applications
M. Ahookhosh, L.T.K. Hien, N. Gillis, P. Patrinos
Bregman forward-backward splitting for nonconvex composite optimization: superlinear convergence to nonisolated critical points
SIAM Journal on Optimization, vol. 31, no. 1, pp. 653-685
M. Ahookhosh, A. Themelis, P. Patrinos
A penalty method for nonlinear programs with set exclusion constraints
Automatica, vol. 127, no. 109500
B. Hermans, G. Pipeleers, P. Patrinos
Bregman Finito/MISO for nonconvex regularized finite sum minimization without Lipschitz gradient continuity
P. Latafat, A. Themelis, M. Ahookhosh, P. Patrinos
A General Framework for Learning-Based Distributionally Robust MPC of Markov Jump Systems
M. Schuurmans, P. Patrinos
Data-driven distributionally robust control of partially observable jump linear systems
60th IEEE Conference on Decision and Control (CDC), 2021
M. Schuurmans, P. Patrinos
Neural network training as an optimal control problem: An augmented Lagrangian approach
60th IEEE Conference on Decision and Control (CDC), 2021
B. Evens, P. Latafat, A. Themelis, J. Suykens, P. Patrinos
Lasry-Lions envelopes and nonconvex optimization: A homotopy approach
29th European Signal Processing Conference (EUSIPCO), 2021
M. Simoes, A. Themelis, P. Patrinos
Unsupervised energy-based out-of-distribution detection using Stiefel-restricted kernel machine
International Joint Conference on Neural Networks (IJCNN), 2021
F. Tonin, A. Pandey, P. Patrinos, J. Suykens
2020
Optimal versus approximate channel selection methods for EEG decoding with application to topology-constrained neuro-sensor networks
IEEE in Transactions on Neural Systems & Rehabilitation Engineering
A.M. Narayanan, P. Patrinos, A. Bertrand
Learning-Based Distributionally Robust Model Predictive Control of Markovian Switching Systems with Guaranteed Stability and Recursive Feasibility
59th IEEE Conference on Decision and Control (CDC), 2020
M. Schuurmans, P. Patrinos
Inertial Block Mirror Descent Method for Non-Convex Non-Smooth Optimization
37th International Conference on Machine Learning (ICML)
L.T.K Hien, N. Gillis, P. Patrinos
A new envelope function for nonsmooth DC optimization
59th IEEE Conference on Decision and Control (CDC), 2020
A. Themelis, B. Hermans and P. Patrinos
Sample complexity of data-driven stochastic LQR with multiplicative uncertainty
59th IEEE Conference on Decision and Control (CDC), 2020
P. Coppens and P. Patrinos
A quadratically convergent proximal algorithm for nonnegative tensor decomposition
28th European Signal Processing Conference (EUSIPCO)
N. Vervliet, A. Themelis, P. Patrinos, and L. De Lathauwer
Multi-pattern recognition through maximization of signal-to-peak-interference ratio with application to neural spike sorting
IEEE Transactions on Signal Processing, vol. 68, pp. 6240-6254, 2020
J. Wouters, P. Patrinos, F. Kloosterman and A. Bertrand
Data-driven distributionally robust LQR with multiplicative noise
2nd Learning for Decision & Control (L4DC) Conference, UC Berkeley, CA
P. Coppens, M. Schuurmans, P. Patrinos
Douglas-Rachford splitting and ADMM for nonconvex optimization: tight convergence results
SIAM Journal on Optimization,vol. 30, no. 1, pp. 149–181, 2020
A. Themelis, P. Patrinos
On the convexity of bit depth allocation for linear MMSE estimation in wireless sensor networks
IEEE Signal Processing Letters, vol. 27, pp. 291-295, 2020
F. de la Hucha Arce, P. Patrinos, M. Verhelst, A. Bertrand
Microsecond nonlinear model predictive control for DC-DC converters
International Journal Of Circuit Theory And Applications, vol. 48, no. 3, pp. 406-419, 2020
A. Lekic, B. Hermans, N. Jovicic, P. Patrinos
OpEn: Code generation for embedded nonconvex optimization
21st IFAC World Congress, 2020
P. Sopasakis, E. Fresk, and P. Patrinos
Learning-based distributionally robust model predictive control for adaptive cruise control with stochastic driver models
21st IFAC World Congress, 2020
M. Schuurmans, A. Katriniok, H. Tseng, P. Patrinos
A new heuristic approach for low-thrust spacecraft trajectory optimization
21st IFAC World Congress, 2020
P. Coppens, B. Hermans, J. Vandersteen, G. Pipeleers, and P. Patrinos
2019
QPALM: A Newton-type proximal augmented Lagrangian method for quadratic programs
in 58th IEEE Conference on Decision and Control (CDC), Nice, France, 2019
B. Hermans, A. Themelis, P. Patrinos
Risk-averse model predictive operation control of islanded microgrids
IEEE Transactions on Control Systems Technology
C.A. Hans, P. Sopasakis, J. Raisch, C. Reincke-Collon, P. Patrinos
Optimal dynamic spectrum management algorithms for multi-user full-duplex DSL
IEEE Access, vol. 7, pp. 106600-106616, 2019
J Verdyck, W Lanneer, P Tsiaflakis, W Coomans, P Patrinos, M Moonen
Nonlinear model predictive control for distributed motion planning in road intersections using PANOC
in 58th IEEE Conference on Decision and Control (CDC), Nice, France, 2019
A. Katriniok, M. Schuurmans, P. Sopasakis, P. Patrinos
Safe Learning-Based Control of Stochastic Jump Linear Systems: a Distributionally Robust Approach
in 58th IEEE Conference on Decision and Control (CDC), Nice, France, 2019
M. Schuurmans, P. Sopasakis, P. Patrinos
SuperMann: a superlinearly convergent algorithm for finding fixed points of nonexpansive operators
IEEE Transactions on Automatic Control
A. Themelis, P. Patrinos
A new randomized block-coordinate primal-dual algorithm for distributed optimization
IEEE Transactions on Automatic Control, vol. 64, no. 10, pp. 4050–4065, 2019
P. Latafat, N. Freris, and P. Patrinos
Newton-type alternating minimization algorithm for convex optimization
IEEE Transactions on Automatic Control, vol. 64, no. 2, pp. 697-711, 2019
L. Stella, A. Themelis, P. Patrinos
Risk-averse model predictive control
Automatica, vol. 100, pp. 281-289, 2019
P. Sopasakis, D. Herceg, A. Bemporad, P. Patrinos
Aerial navigation in obstructed environments with embedded nonlinear model predictive control
in European Control Conference (ECC), Naples, Italy, 2019
E. Small, P. Sopasakis, E. Fresk, P. Patrinos, G. Nikolakopoulos
SuperSCS: fast and accurate large-scale conic optimization
in European Control Conference (ECC), Naples, Italy, 2019
P. Sopasakis, K. Menounou, and P. Patrinos
Risk-averse risk-constrained optimal control
in European Control Conference (ECC), Naples, Italy, 2019
P. Sopasakis, M. Schuurmans, and P. Patrinos
2018
Multi-agent structured optimization over message-passing architectures with bounded communication delays
in 57th IEEE Conference on Decision and Control (CDC), Miami Beach, FL, USA, 2018
P. Latafat, P. Patrinos
Forward-backward envelope for the sum of two nonconvex functions: Further properties and nonmonotone line-search algorithms
SIAM Journal on Optimization, vol. 28, no.3, pp. 2274–2303
A. Themelis, L. Stella, and P. Patrinos
Proximal Gradient Algorithms: Applications in Signal Processing
N. Antonello, L. Stella, P. Patrinos, T. van Waterschoot
A penalty method based approach for autonomous navigation using nonlinear model predictive control
6th IFAC Conference on Nonlinear Model Predictive Control, 2018, pp. 234 - 240
B. Hermans, P. Patrinos, G. Pipeleers
Embedded nonlinear model predictive control for obstacle avoidance using PANOC
European Control Conference, 2018, pp. 1523 - 1528
A. Sathya, P. Sopasakis, A. Themelis, R. Van Parys, G. Pipeleers, P. Patrinos
GPU-accelerated stochastic predictive control of drinking water networks
IEEE Control Systems Technology, vol. 26, no. 3, pp. 551-562, 2018
A. Sampathirao, P. Sopasakis, A. Bemporad, P. Patrinos
Uncertainty-aware demand management of water distribution networks in deregulated energy markets
Environmental Modelling & Software, vol. 101, pp. 10–22, 2018
P. Sopasakis, A. Sampathirao, A. Bemporad, P. Patrinos
Plug and Play Distributed Model Predictive Control with Dynamic Coupling: A Randomized Primal-dual Proximal Algorithm
ECC 2018
P. Latafat, A. Bemporad, P. Patrinos
A semi-parametric non-linear neural network filter: Theory and empirical evidence
Computational Economics, vol. 51(3), pp. 637-675, 2018
P. Michaelides, E. Tsionas, A. Vouldis, K. Konstantakis, P. Patrinos
Primal-Dual Proximal Algorithms for Structured Convex Optimization: A Unifying Framework
in Large-Scale and Distributed Optimization, Eds. P. Giselsson, A. Rantzer
P. Latafat, P. Patrinos
On the Acceleration of Forward-Backward Splitting via an Inexact Newton Method
A. Themelis, M. Ahookhosh, P. Patrinos
2017
Asymmetric forward-backward-adjoint splitting for solving monotone inclusions involving three operators
Computational Optimization & Applications, vol. 68, no. 1, pp. 57–93, 2017
P. Latafat and P. Patrinos
Forward-backward quasi-Newton methods for nonsmooth optimization problems
Computational Optimization & Applications, vol. 67, no. 3, pp. 443–487, 2017
L. Stella, A. Themelis, and P. Patrinos
Multidisciplinary learning through implementation of the DVB-S2 standard
IEEE Communications Magazine, vol. 55, no. 5, pp. 124–130, 2017
Y. Murillo, B. Van den Bergh, J. Beysens, A. Bertrand, W. Dehaene, P. Patrinos, T. Tuytelaars, R. V. Sabariego, M. Verhelst, P. Wambacq, S. Pollin
A simple and efficient optimization algorithm for nonlinear MPC
2017 IEEE 56th Annual Conference on Decision and Control (CDC), pp. 1939-1944, 2017
L. Stella, A. Themelis, P. Sopasakis, P. Patrinos
A primal-dual line search method and applications in image processing
25th European Signal Processing Conference (EUSIPCO), pp. 1100–1104, 2017
P. Sopasakis, A. Themelis, J. Suykens, and P. Patrinos
Data-driven modelling, learning and stochastic predictive control for the steel industry
25th Mediterranean Conference on Control and Automation, pp. 1361–1366, 2017
D. Herceg, G. Georgoulas, P. Sopasakis, M. Castano, P. Patrinos, A. Bemporad, J. Niemi, G. Nikolakopoulos
Proximal limited-memory quasi-Newton methods for scenario-based stochastic optimal control
20th IFAC World Congress, Toulouse, France, pp. 11865–11870, 2017
A. Sampathirao, P. Sopasakis, A. Bemporad, P. Patrinos
Stochastic economic model predictive control for Markovian switching systems
20th IFAC World Congress, Toulouse, France, pp. 524–530, 2017
P. Sopasakis, D. Herceg, P. Patrinos, A. Bemporad
Modeling and administration scheduling of fractional-order pharmacokinetic systems
20th IFAC World Congress, Toulouse, France, pp. 9742–9747, 2017
D. Herceg, S. Ntouskas, P. Sopasakis, A. Dokoumetzidis, P. Macheras, H. Sarimveis, P. Patrinos
2016
Real‐time model predictive control based on dual gradient projection: Theory and fixed‐point FPGA implementation
International Journal of Robust and Nonlinear Control, vol. 26, no. 15, pp. 3292–3310, 2016
M. Rubagotti, P. Patrinos, A. Guiggiani, A. Bemporad
New primal-dual proximal algorithm for distributed optimization
IEEE 55th Conference on Decision and Control (CDC), Las Vegas, USA, pp. 1959-1964, 2016
P. Latafat, L. Stella, P. Patrinos
Distributed computing over encrypted data
54th Annual Allerton Conference on Communication, Control, and Computing, pp. 1116–1122, 2016
N. Freris, P. Patrinos
Stochastic gradient methods for stochastic model predictive control
European Control Conference (ECC), pp. 154–159, 2016
A. Themelis, V. Silvia, P. Patrinos, A. Bemporad
Accelerated reconstruction of a compressively sampled data stream
24th European Signal Processing Conference (EUSIPCO), pp. 1078–1082, 2016
P. Sopasakis, N. Freris, P. Patrinos
2015
Distributed solution of stochastic optimal control problems on GPUs
IEEE 54th Conference on Decision and Control, pp. 7183–7188, 2015
A. K. Sampathirao, P. Sopasakis, A. Bemporad, P. Patrinos
Model predictive control for linear impulsive systems
IEEE Transactions on Automatic Control, vol. 60, no. 8, pp. 2277–2282, 2015
P. Sopasakis, P. Patrinos, H. Sarimveis, A. Bemporad
Constrained model predictive control of spacecraft attitude with reaction wheels desaturation
European Control Conference (ECC), pp. 1382–1387, 2015
A. Guiggiani, I. Kolmanovsky, P. Patrinos, A. Bemporad
Fixed-point constrained model predictive control of spacecraft attitude
American Control Conference (ACC), 2015, pp. 2317– 2322, 2015
A. Guiggiani, I. Kolmanovsky, P. Patrinos, A. Bemporad
A dual gradient-projection algorithm for model predictive control in fixed-point arithmetic
Automatica, vol. 55, pp. 226–235, 2015
P. Patrinos, A. Guiggiani, A. Bemporad
A convex feasibility approach to anytime model predictive control
A. Bemporad, D. Bernardini, P. Patrinos
2014
Douglas-Rachford splitting: Complexity estimates and accelerated variants
IEEE 53rd Annual Conference on Decision and Control (CDC), pp. 4234– 4239, 2014
P. Patrinos, L. Stella, A. Bemporad
A proximal alternating minimization method for \(\ell_0\)-regularized nonlinear optimization problems: application to state estimation
53rd IEEE Conference on Decision and Control (CDC), pp. 4254–4259, 2014
A. Patrascu, I. Necoara, P. Patrinos
Robust model predictive control for optimal continuous drug administration
Computer methods and programs in biomedicine, vol. 116, no. 3, pp. 193–204, 2014
P. Sopasakis, P. Patrinos, H. Sarimveis
Stochastic model predictive control for constrained discrete-time Markovian switching systems
Automatica, vol. 50, no. 10, pp. 2504–2514, 2014
P. Patrinos, P. Sopasakis, H. Sarimveis, and A. Bemporad
Stabilizing linear model predictive control under inexact numerical optimization
IEEE Transactions on Automatic Control, vol. 59, no. 6, pp. 1660–1666, 2014
M. Rubagotti, P. Patrinos, and A. Bemporad
MPC for sampled-data linear systems: Guaranteeing constraint satisfaction in continuous-time
IEEE Transactions on Automatic Control, vol. 59, no. 4, pp. 1088–1093, 2014
P. Sopasakis, P. Patrinos, and H. Sarimveis
Forward-backward truncated Newton methods for convex composite optimization
P. Patrinos, L. Stella, A. Bemporad.
MPC for power systems dispatch based on stochastic optimization
19th IFAC World Congress, pp. 11147–11152, 2014
I. Necoara, D. N. Clipici, P. Patrinos, A. Bemporad
Fixed-point implementation of a proximal Newton method for embedded model predictive control
19th IFAC World Congress, pp. 2921–2926, 2014
A. Guiggiani, P. Patrinos, A. Bemporad
An accelerated dual gradient-projection algorithm for embedded linear model predictive control
IEEE Transactions on Automatic Control, vol. 59, no. 1, pp. 18–33, 2014
P. Patrinos, A. Bemporad
2013
Proximal Newton methods for convex composite optimization
IEEE 52nd Conference on Decision and Control, pp. 2358–2363, 2013
P. Patrinos, A. Bemporad
Fixed-point dual gradient projection for embedded model predictive control
European Control Conference (ECC), pp. 3602–3607, 2013
P. Patrinos, A. Guiggiani, A. Bemporad
Stabilizing embedded MPC with computational complexity guarantees
European Control Conference (ECC), pp. 3065–3070, 2013
M. Rubagotti, P. Patrinos, A. Bemporad
Reliability and efficiency for market parties in power systems
10th International Conference on the European Energy Market (EEM), 2013
L. Puglia, P. Patrinos, D. Bernardini, A. Bemporad
2012
An accelerated dual gradient-projection algorithm for linear model predictive control
51st Annual Conference on Decision and Control, pp. 662–667, 2012
Patrinos, A. Bemporad
Simple and certifiable quadratic programming algorithms for embedded linear model predictive control
IFAC 4th Nonlinear Model Predictive Control Conference, 2012
A. Bemporad, P. Patrinos
Two-time-scale MPC for Economically Optimal Real-time Operation of Balance Responsible Parties
IFAC 8th Power Plant and Power Systems Control Symposium, (Toulouse, France), pp. 741–746, 2012
P. Patrinos, D. Bernardini, A. Maffei, A. Jokic, and A. Bemporad
Model predictive control for linear impulsive systems
51st IEEE Conference on Decision and Control, pp. 5164–5169, 2012
P. Sopasakis, P. Patrinos, H. Sarimveis, A. Bemporad
2011
A global piecewise smooth Newton method for fast large-scale model predictive control
Automatica, vol. 47, no. 9, pp. 2016–2022, 2011
P. Patrinos, P. Sopasakis, H. Sarimveis
Convex parametric piecewise quadratic optimization: Theory and algorithms
Automatica, vol. 47, no. 8, pp. 1770–1777, 2011
P. Patrinos H. Sarimveis
Stochastic MPC for real-time market-based optimal power dispatch
Proc. 50th IEEE Conference on Decision and Control, pp. 7111–7116, 2011
P. Patrinos, S. Trimboli, and A. Bemporad
Physiologically based pharmacokinetic modeling and predictive control: an integrated approach for optimal drug administration
21st European Symposium on Computer Aided Chemical Engineering, pp. 1490–1494, 2011
P. Sopasakis, S. Patrinos, P. Giannikou, H. Sarimveis
Stochastic model predictive control for constrained networked control systems with random time delay
18th IFAC World Congress, pp. 12626–12631, 2011
P. Patrinos, P. Sopasakis, H. Sarimveis
2010
A new algorithm for solving convex parametric quadratic programs based on graphical derivatives of solution mappings
Automatica, vol. 46, no. 9, pp. 1405–1418, 2010
P. Patrinos, H. Sarimveis
Variable selection in nonlinear modeling based on RBF networks and evolutionary computation
International Journal of Neural Systems, vol. 20, no. 5, pp. 365–379, 2010
P. Patrinos, A. Alexandridis, K. Ninos, and H. Sarimveis
Prior 2010
Dynamic modeling and control of supply chain systems: A review
Computers and Operations Research, vol. 35, no. 11, pp. 3530– 3561, 2008
H. Sarimveis, P. Patrinos, C. Tarantilis, C. Kiranoudis
An explicit optimal control approach for mean-risk dynamic portfolio allocation
9th European Control Conference (ECC), 2007
P. Patrinos, H. Sarimveis
Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing
Journal of Food Engineering, vol. 75, no. 2, pp. 196–204, 2006
F. Doganis, A. Alexandridis, P. Patrinos, H. Sarimveis
A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models
Chemometrics and Intelligent Laboratory Systems, vol. 75, no. 2, pp. 149–162, 2005
A. Alexandridis, P. Patrinos, H. Sarimveis
An RBF based neuro-dynamic approach for the control of stochastic dynamic systems
16th IFAC World Congress, (Prague, Czech Republic), pp. 1086–1086, 2005
P. Patrinos and H. Sarimveis
Development of nonlinear quantitative structure-activity relationships using RBF networks and evolutionary computing
14th European Symposium on Computer Aided Process Engineering-ESCAPE 14, vol. 18, pp. 265–270, 2004
P. Patrinos, A. Alexandridis, A. Afantitis, H. Sarimveis, and O. Igglesi-Markopoulou
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