Maestre, José M.
Distributed Model Predictive Control Made Easy
1. On 35 Approaches for Distributed MPC Made Easy
R. R. Negenborn, J. M. Maestre
Part I. From Small-Scale to Large-Scale: The Group of Autonomous Systems Perspective
2. Bargaining Game Based Distributed MPC
F. Valencia, J. D. López, J. A. Patiño, J. J. Espinosa
3. Cooperative Tube-based Distributed MPC for Linear Uncertain Systems Coupled Via Constraints
P. A. Trodden, A. G. Richards
4. Price-driven Coordination for Distributed NMPC Using a Feedback Control Law
R. Martí, D. Sarabia, C. de Prada
5. Distributed MPC for Consensus and Synchronization
M. A. Müller, F. Allgöwer
6. Distributed MPC Under Coupled Constraints Based on Dantzig-Wolfe Decomposition
R. Bourdais, J. Buisson, D. Dumur, H. Guéguen, P-D. Moroşan
7. Distributed MPC Via Dual Decomposition and Alternative Direction Method of Multipliers
F. Farokhi, I. Shames, K. H. Johansson
8. D-SIORHC, Distributed MPC with Stability Constraints Based on a Game Approach
J. M. Lemos, J. M. Igreja
9. A Distributed-in-Time NMPC-Based Coordination Mechanism for Resource Sharing Problems
M. Y. Lamoudi, M. Alamir, P. Béguery
10. Rate Analysis of Inexact Dual Fast Gradient Method for Distributed MPC
I. Necoara
11. Distributed MPC Via Dual Decomposition
B. Biegel, J. Stoustrup, P. Andersen
12. Distributed Optimization for MPC of Linear Dynamic Networks
E. Camponogara
13. Adaptive Quasi-Decentralized MPC of Networked Process Systems
Y. Hu, N. H. El-Farra
14. Distributed Lyapunov-Based MPC
R. Hermans, M. Lazar, A. Jokić
15. A Distributed Reference Management Scheme in Presence of Non-Convex Constraints: An MPC Based Approach
F. Tedesco, D. M. Raimondo, A. Casavola
16. The Distributed Command Governor Approach in a Nutshell
A. Casavola, E. Garone, F. Tedesco
17. Mixed-Integer Programming Techniques in Distributed MPC Problems
I. Prodan, F. Stoican, S. Olaru, C. Stoica, S.-I. Niculescu
18. Distributed MPC of Interconnected Nonlinear Systems by Dynamic Dual Decomposition
A. Grancharova, T. A. Johansen
19. Generalized Accelerated Gradient Methods forDistributed MPC Based on Dual Decomposition
P. Giselsson, A. Rantzer
20. Distributed Multiple Shooting for Large Scale Nonlinear Systems
A. Kozma, C. Savorgnan, M. Diehl
21. Nash-Based Distributed MPC for Multi-Rate Systems
S. Roshany-Yamchi, R. R. Negenborn, A. A. Cornelio
Part II. From Large-Scale to Small-Scale: The Decomposed Monolithic System Perspective
22. Cooperative Dynamic MPC for Networked Control Systems
I. Jurado, D. E. Quevedo, K. H. Johansson, A. Ahlén
23. Parallel Implementation of Hybrid MPC
D. Axehill, A. Hansson
24. A Hierarchical MPC Approach with Guaranteed Feasibility for Dynamically Coupled Linear Systems
M. D. Doan, T. Keviczky, B. De Schutter
25. Distributed MPC Based on a Team Game
J. M. Maestre, F. J. Muros, F. Fele, D. Muñoz de la Peña, E. F. Camacho
26. Distributed MPC: A Noncooperative Approach Based on Robustness Concepts
G. Betti, M. Farina, R. Scattolini
27. Decompositions of Augmented Lagrange Formulations for Serial and Parallel DistributedMPC
R. R. Negenborn
28. A Hierarchical Distributed MPC Approach: APractical Implementation
A. Zafra-Cabeza, J. M. Maestre
29. Distributed MPC Based on Agent Negotiation
J. M. Maestre, D. Muñoz de la Peña, E. F. Camacho
30. Lyapunov-Based Distributed MPC Schemes: Sequential and Iterative Approaches
J. Liu, D. Muñoz Peña, P. D. Christofides
31. Multi-layer Decentralized MPC of Large-scale Networked Systems
C. Ocampo-Martinez, V. Puig, J. M. Grosso, S. Montes-de-Oca
32. Distributed MPC Using Reinforcement Learning Based Negotiation: Application to Large Scale Systems
B. Morcego, V. Javalera, V. Puig, R. Vito
33. Hierarchical MPC for Multiple Commodity Transportation Networks
J. L. Nabais, R. R. Negenborn, R. B. Carmona-Benítez, L. F. Mendonça, M. A. Botto
34. On the Use of Suboptimal Solvers for Efficient Cooperative Distributed Linear MPC
G. Pannocchia, S. J. Wright, J. B. Rawlings
35. Cooperative Distributed MPC Integrating a Steady State Target Optimizer
A. Ferramosca, D. Limon, A. H. González
36. Cooperative MPC with Guaranteed Exponential Stability
A. Ferramosca
Keywords: Engineering, Control, Vibration, Dynamical Systems, Control, Systems Theory, Control, Organization/Planning, Simulation and Modeling
- Author(s)
- Maestre, José M.
- Negenborn, Rudy R.
- Publisher
- Springer
- Publication year
- 2014
- Language
- en
- Edition
- 2014
- Series
- Intelligent Systems, Control and Automation: Science and Engineering
- Page amount
- 18 pages
- Category
- Technology, Energy, Traffic
- Format
- Ebook
- eISBN (PDF)
- 9789400770065