Architectures for distributed and hierarchical model predictive control–a review R Scattolini Journal of process control 19 (5), 723-731, 2009 | 1601 | 2009 |
Distributed model predictive control: A tutorial review and future research directions PD Christofides, R Scattolini, DM De La Pena, J Liu Computers & Chemical Engineering 51, 21-41, 2013 | 1038 | 2013 |
Constrained receding-horizon predictive control DW Clarke, R Scattolini IEE proceedings D (control theory and applications) 138 (4), 347-354, 1991 | 530 | 1991 |
A stabilizing model-based predictive control algorithm for nonlinear systems L Magni, G De Nicolao, L Magnani, R Scattolini Automatica 37 (9), 1351-1362, 2001 | 445 | 2001 |
Stochastic linear model predictive control with chance constraints–a review M Farina, L Giulioni, R Scattolini Journal of Process Control 44, 53-67, 2016 | 380 | 2016 |
Distributed predictive control: A non-cooperative algorithm with neighbor-to-neighbor communication for linear systems M Farina, R Scattolini Automatica 48 (6), 1088-1096, 2012 | 330 | 2012 |
Stabilizing receding-horizon control of nonlinear time-varying systems G De Nicolao, L Magni, R Scattolini IEEE Transactions on Automatic Control 43 (7), 1030-1036, 1998 | 311 | 1998 |
Robust model predictive control for nonlinear discrete‐time systems L Magni, G De Nicolao, R Scattolini, F Allgöwer International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2003 | 302 | 2003 |
Model predictive control schemes for consensus in multi-agent systems with single-and double-integrator dynamics G Ferrari-Trecate, L Galbusera, MPE Marciandi, R Scattolini IEEE Transactions on Automatic Control 54 (11), 2560-2572, 2009 | 265 | 2009 |
Distributed moving horizon estimation for linear constrained systems M Farina, G Ferrari-Trecate, R Scattolini IEEE Transactions on Automatic Control 55 (11), 2462-2475, 2010 | 226 | 2010 |
Stabilizing decentralized model predictive control of nonlinear systems L Magni, R Scattolini Automatica 42 (7), 1231-1236, 2006 | 216 | 2006 |
Stability and robustness of nonlinear receding horizon control G De Nicolao, L Magni, R Scattolini Nonlinear model predictive control, 3-22, 2000 | 214 | 2000 |
Robustness and robust design of MPC for nonlinear discrete-time systems L Magni, R Scattolini Assessment and future directions of nonlinear model predictive control, 239-254, 2007 | 213 | 2007 |
Fondamenti di controlli automatici PGE Bolzern, R Scattolini, NL Schiavoni McGraw-Hill, 2008 | 211 | 2008 |
Regional input-to-state stability for nonlinear model predictive control L Magni, DM Raimondo, R Scattolini IEEE Transactions on automatic control 51 (9), 1548-1553, 2006 | 197 | 2006 |
A two-layer stochastic model predictive control scheme for microgrids SR Cominesi, M Farina, L Giulioni, B Picasso, R Scattolini IEEE Transactions on Control Systems Technology 26 (1), 1-13, 2017 | 178 | 2017 |
Decentralized MPC of nonlinear systems: An input‐to‐state stability approach DM Raimondo, L Magni, R Scattolini International Journal of Robust and Nonlinear Control: IFAC‐Affiliated …, 2007 | 170 | 2007 |
Model predictive control of continuous-time nonlinear systems with piecewise constant control L Magni, R Scattolini IEEE transactions on automatic control 49 (6), 900-906, 2004 | 153 | 2004 |
Modelling the volumetric efficiency of IC engines: parametric, non-parametric and neural techniques G De Nicolao, R Scattolini, C Siviero Control Engineering Practice 4 (10), 1405-1415, 1996 | 145 | 1996 |
On the robustness of receding-horizon control with terminal constraints G De Nicolao, L Magni, R Scattolini IEEE Transactions on Automatic Control 41 (3), 451-453, 1996 | 138 | 1996 |