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Distributed Model Predictive Control Made Easy
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José M. Maestre Rudy R. Negenborn Editors 1 On 35 Approaches for Distributed MPC Made Easy . . . . . . . . . . 1 R. R. Negenborn and J. M. Maestre Part I From Small-Scale to Large-Scale: The Group of Autonomous Systems Perspective 2 Bargaining Game Based Distributed MPC. . . . . . . . . . . . . . . . . . 41 F. Valencia, J. D. López, J. A. Patiño and J. J. Espinosa 3 Cooperative Tube-Based Distributed MPC for Linear Uncertain Systems Coupled Via Constraints . . . . . . . . . . . . . . . . 57 P. A. Trodden and A. G. Richards 4 Price-Driven Coordination for Distributed NMPC Using a Feedback Control Law. . . . . . . . . . . . . . . . . . . . . . . . . . 73 R. Martí, D. Sarabia and C. de Prada 5 Distributed MPC for Consensus and Synchronization . . . . . . . . . 89 M. A. Müller and F. Allgöwer 6 Distributed MPC Under Coupled Constraints Based on Dantzig-Wolfe Decomposition. . . . . . . . . . . . . . . . . . . . . . . . . 101 R. Bourdais, J. Buisson, D. Dumur, H. Guéguen and P.-D. Moros¸ an 7 Distributed MPC Via Dual Decomposition and Alternative Direction Method of Multipliers . . . . . . . . . . . . . . . . . . . . . . . . . 115 F. Farokhi, I. Shames and K. H. Johansson 8 D-SIORHC, Distributed MPC with Stability Constraints Based on a Game Approach . . . . . . . . . . . . . . . . . . . . . . . . . . . . 133 J. M. Lemos and J. M. Igreja 9 A Distributed-in-Time NMPC-Based Coordination Mechanism for Resource Sharing Problems. . . . . . . . . . . . . . . . . . . . . . . . . . 147 M. Y. Lamoudi, M. Alamir and P. Béguery 10 Rate Analysis of Inexact Dual Fast Gradient Method for Distributed MPC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 163 I. Necoara 11 Distributed MPC Via Dual Decomposition. . . . . . . . . . . . . . . . . . 179 B. Biegel, J. Stoustrup and P. Andersen 12 Distributed Optimization for MPC of Linear Dynamic Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193 E. Camponogara 13 Adaptive Quasi-Decentralized MPC of Networked Process Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 209 Y. Hu and N. H. El-Farra 14 Distributed Lyapunov-Based MPC . . . . . . . . . . . . . . . . . . . . . . . 225 R. Hermans, M. Lazar and A. Jokic´ 15 A Distributed Reference Management Scheme in Presence of Non-Convex Constraints: An MPC Based Approach . . . . . . . . 243 F. Tedesco, D. M. Raimondo and A. Casavola 16 The Distributed Command Governor Approach in a Nutshell . . . 259 A. Casavola, E. Garone and F. Tedesco 17 Mixed-Integer Programming Techniques in Distributed MPC Problems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 275 I. Prodan, F. Stoican, S. Olaru, C. Stoica and S.-I. Niculescu 18 Distributed MPC of Interconnected Nonlinear Systems by Dynamic Dual Decomposition. . . . . . . . . . . . . . . . . . . . . . . . . 293 A. Grancharova and T. A. Johansen 19 Generalized Accelerated Gradient Methods for Distributed MPC Based on Dual Decomposition . . . . . . . . . . . . . . . . . . . . . . 309 P. Giselsson and A. Rantzer 20 Distributed Multiple Shooting for Large Scale Nonlinear Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 327 A. Kozma, C. Savorgnan and M. Diehl 21 Nash-Based Distributed MPC for Multi-Rate Systems . . . . . . . . . 341 S. Roshany-Yamchi, R. R. Negenborn and A. A. Cornelio Part II From Large-Scale to Small-Scale: The Decomposed Monolithic System Perspective 22 Cooperative Dynamic MPC for Networked Control Systems . . . . 357 I. Jurado, D. E. Quevedo, K. H. Johansson and A. Ahlén 23 Parallel Implementation of Hybrid MPC. . . . . . . . . . . . . . . . . . . 375 D. Axehill and A. Hansson 24 A Hierarchical MPC Approach with Guaranteed Feasibility for Dynamically Coupled Linear Systems . . . . . . . . . . . . . . . . . . 393 M. D. Doan, T. Keviczky and B. De Schutter 25 Distributed MPC Based on a Team Game. . . . . . . . . . . . . . . . . . 407 J. M. Maestre, F. J. Muros, F. Fele, D. Muñoz de la Peña and E. F. Camacho 26 Distributed MPC: A Noncooperative Approach Based on Robustness Concepts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 421 G. Betti, M. Farina and R. Scattolini 27 Decompositions of Augmented Lagrange Formulations for Serial and Parallel Distributed MPC . . . . . . . . . . . . . . . . . . . 437 R. R. Negenborn 28 A Hierarchical Distributed MPC Approach: A Practical Implementation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 451 A. Zafra-Cabeza and J. M. Maestre 29 Distributed MPC Based on Agent Negotiation . . . . . . . . . . . . . . . 465 J. M. Maestre, D. Muñoz de la Peña and E. F. Camacho 30 Lyapunov-based Distributed MPC Schemes: Sequential and Iterative Approaches . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 479 J. Liu, D. Muñoz de la Peña and P. D. Christofides 31 Multi-layer Decentralized MPC of Large-Scale Networked Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 495 C. Ocampo-Martinez, V. Puig, J. M. Grosso and S. Montes-de-Oca 32 Distributed MPC Using Reinforcement Learning Based Negotiation: Application to Large Scale Systems . . . . . . . . . . . . . 517 B. Morcego, V. Javalera, V. Puig and R. Vito 33 Hierarchical MPC for Multiple Commodity Transportation Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 535 J. L. Nabais, R. R. Negenborn, R. B. Carmona-Benítez, L. F. Mendonça and M. A. Botto 34 On the Use of Suboptimal Solvers for Efficient Cooperative Distributed Linear MPC. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 553 G. Pannocchia, S. J. Wright and J. B. Rawlings 35 Cooperative Distributed MPC Integrating a Steady State Target Optimizer. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 569 A. Ferramosca, D. Limon and A. H. González 36 Cooperative MPC with Guaranteed Exponential Stability . . . . . . 585 A. Ferramosca |
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