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[资源] Distributed Model Predictive Control Made Easy

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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