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Panagiotis Patrinos
Panagiotis Patrinos
Andre navnePanos Patrinos
Associate Professor, KU Leuven
Verificeret mail på esat.kuleuven.be - Startside
Titel
Citeret af
Citeret af
År
Dynamic modeling and control of supply chain systems: A review
H Sarimveis, P Patrinos, CD Tarantilis, CT Kiranoudis
Computers & operations research 35 (11), 3530-3561, 2008
6292008
Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing
P Doganis, A Alexandridis, P Patrinos, H Sarimveis
Journal of food engineering 75 (2), 196-204, 2006
3122006
An accelerated dual gradient-projection algorithm for embedded linear model predictive control
P Patrinos, A Bemporad
IEEE Transactions on Automatic Control 59 (1), 18-33, 2013
2862013
Forward–backward quasi-Newton methods for nonsmooth optimization problems
L Stella, A Themelis, P Patrinos
Computational Optimization and Applications 67 (3), 443-487, 2017
1602017
A simple and efficient algorithm for nonlinear model predictive control
L Stella, A Themelis, P Sopasakis, P Patrinos
2017 IEEE 56th Annual Conference on Decision and Control (CDC), 1939-1944, 2017
1462017
Forward-backward envelope for the sum of two nonconvex functions: Further properties and nonmonotone linesearch algorithms
A Themelis, L Stella, P Patrinos
SIAM Journal on Optimization 28 (3), 2274-2303, 2018
1402018
Douglas--Rachford splitting and ADMM for nonconvex optimization: Tight convergence results
A Themelis, P Patrinos
SIAM Journal on Optimization 30 (1), 149-181, 2020
1342020
Embedded nonlinear model predictive control for obstacle avoidance using PANOC
A Sathya, P Sopasakis, R Van Parys, A Themelis, G Pipeleers, P Patrinos
2018 European control conference (ECC), 1523-1528, 2018
1192018
Asymmetric forward–backward–adjoint splitting for solving monotone inclusions involving three operators
P Latafat, P Patrinos
Computational Optimization and Applications 68, 57-93, 2017
1192017
A two-stage evolutionary algorithm for variable selection in the development of RBF neural network models
A Alexandridis, P Patrinos, H Sarimveis, G Tsekouras
Chemometrics and intelligent laboratory systems 75 (2), 149-162, 2005
1092005
OpEn: Code generation for embedded nonconvex optimization
P Sopasakis, E Fresk, P Patrinos
IFAC-PapersOnLine 53 (2), 6548-6554, 2020
1052020
Stochastic model predictive control for constrained discrete-time Markovian switching systems
P Patrinos, P Sopasakis, H Sarimveis, A Bemporad
Automatica 50 (10), 2504-2514, 2014
1022014
Stochastic MPC for real-time market-based optimal power dispatch
P Patrinos, S Trimboli, A Bemporad
2011 50th IEEE conference on decision and control and European control …, 2011
1012011
Douglas-Rachford splitting: Complexity estimates and accelerated variants
P Patrinos, L Stella, A Bemporad
53rd IEEE Conference on Decision and Control, 4234-4239, 2014
992014
A new randomized block-coordinate primal-dual proximal algorithm for distributed optimization
P Latafat, NM Freris, P Patrinos
IEEE Transactions on Automatic Control 64 (10), 4050-4065, 2019
892019
Proximal Newton methods for convex composite optimization
P Patrinos, A Bemporad
52nd IEEE Conference on Decision and Control, 2358-2363, 2013
832013
Simple and certifiable quadratic programming algorithms for embedded linear model predictive control
A Bemporad, P Patrinos
IFAC Proceedings Volumes 45 (17), 14-20, 2012
762012
Aerial navigation in obstructed environments with embedded nonlinear model predictive control
E Small, P Sopasakis, E Fresk, P Patrinos, G Nikolakopoulos
2019 18th European Control Conference (ECC), 3556-3563, 2019
752019
Stabilizing linear model predictive control under inexact numerical optimization
M Rubagotti, P Patrinos, A Bemporad
IEEE Transactions on Automatic Control 59 (6), 1660-1666, 2014
702014
Risk-averse model predictive control
P Sopasakis, D Herceg, A Bemporad, P Patrinos
Automatica 100, 281-288, 2019
692019
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