| 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 | 636 | 2008 |
| 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 | 316 | 2006 |
| 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 | 291 | 2013 |
| Forward–backward quasi-Newton methods for nonsmooth optimization problems L Stella, A Themelis, P Patrinos Computational Optimization and Applications 67 (3), 443-487, 2017 | 164 | 2017 |
| 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 | 152 | 2017 |
| Douglas--Rachford splitting and ADMM for nonconvex optimization: Tight convergence results A Themelis, P Patrinos SIAM Journal on Optimization 30 (1), 149-181, 2020 | 147 | 2020 |
| 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 | 141 | 2018 |
| Asymmetric forward–backward–adjoint splitting for solving monotone inclusions involving three operators P Latafat, P Patrinos Computational Optimization and Applications 68, 57-93, 2017 | 123 | 2017 |
| 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 | 121 | 2018 |
| OpEn: Code generation for embedded nonconvex optimization P Sopasakis, E Fresk, P Patrinos IFAC-PapersOnLine 53 (2), 6548-6554, 2020 | 112 | 2020 |
| 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 | 109 | 2005 |
| 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 | 104 | 2014 |
| Douglas-Rachford splitting: Complexity estimates and accelerated variants P Patrinos, L Stella, A Bemporad 53rd IEEE Conference on Decision and Control, 4234-4239, 2014 | 101 | 2014 |
| 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 | 101 | 2011 |
| 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 | 90 | 2019 |
| Proximal Newton methods for convex composite optimization P Patrinos, A Bemporad 52nd IEEE Conference on Decision and Control, 2358-2363, 2013 | 85 | 2013 |
| Simple and certifiable quadratic programming algorithms for embedded linear model predictive control A Bemporad, P Patrinos IFAC Proceedings Volumes 45 (17), 14-20, 2012 | 80 | 2012 |
| 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 | 78 | 2019 |
| Risk-averse model predictive control P Sopasakis, D Herceg, A Bemporad, P Patrinos Automatica 100, 281-288, 2019 | 71 | 2019 |
| 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 | 71 | 2014 |
Alberto BemporadProfessor of Control Systems, IMT Lucca, ItalyVerified email at imtlucca.it
