Distributed Model Predictive Control Made Easy

✍ Scribed by R. R. Negenborn, J. M. Maestre (auth.), José M. Maestre, Rudy R. Negenborn (eds.)

• Publisher: Springer Netherlands
• Year: 2014
• Tongue: English
• Leaves: 601
• Series: Intelligent Systems, Control and Automation: Science and Engineering 69
• Edition: 1
• Category: Library

✦ Synopsis

The rapid evolution of computer science, communication, and information technology has enabled the application of control techniques to systems beyond the possibilities of control theory just a decade ago. Critical infrastructures such as electricity, water, traffic and intermodal transport networks are now in the scope of control engineers. The sheer size of such large-scale systems requires the adoption of advanced distributed control approaches. Distributed model predictive control (MPC) is one of the promising control methodologies for control of such systems.

This book provides a state-of-the-art overview of distributed MPC approaches, while at the same time making clear directions of research that deserve more attention. The core and rationale of 35 approaches are carefully explained. Moreover, detailed step-by-step algorithmic descriptions of each approach are provided. These features make the book a comprehensive guide both for those seeking an introduction to distributed MPC as well as for those who want to gain a deeper insight in the wide range of distributed MPC techniques available.

✦ Table of Contents

Front Matter....Pages i-xviii
On 35 Approaches for Distributed MPC Made Easy....Pages 1-37
Front Matter....Pages 39-39
Bargaining Game Based Distributed MPC....Pages 41-56
Cooperative Tube-based Distributed MPC for Linear Uncertain Systems Coupled Via Constraints....Pages 57-72
Price-driven Coordination for Distributed NMPC Using a Feedback Control Law....Pages 73-88
Distributed MPC for Consensus and Synchronization....Pages 89-100
Distributed MPC Under Coupled Constraints Based on Dantzig-Wolfe Decomposition....Pages 101-114
Distributed MPC Via Dual Decomposition and Alternative Direction Method of Multipliers....Pages 115-131
D-SIORHC, Distributed MPC with Stability Constraints Based on a Game Approach....Pages 133-146
A Distributed-in-Time NMPC-Based Coordination Mechanism for Resource Sharing Problems....Pages 147-162
Rate Analysis of Inexact Dual Fast Gradient Method for Distributed MPC....Pages 163-178
Distributed MPC Via Dual Decomposition....Pages 179-192
Distributed Optimization for MPC of Linear Dynamic Networks....Pages 193-208
Adaptive Quasi-Decentralized MPC of Networked Process Systems....Pages 209-223
Distributed Lyapunov-Based MPC....Pages 225-241
A Distributed Reference Management Scheme in Presence of Non-Convex Constraints: An MPC Based Approach....Pages 243-257
The Distributed Command Governor Approach in a Nutshell....Pages 259-274
Mixed-Integer Programming Techniques in Distributed MPC Problems....Pages 275-291
Distributed MPC of Interconnected Nonlinear Systems by Dynamic Dual Decomposition....Pages 293-308
Generalized Accelerated Gradient Methods for Distributed MPC Based on Dual Decomposition....Pages 309-325
Distributed Multiple Shooting for Large Scale Nonlinear Systems....Pages 327-340
Front Matter....Pages 39-39
Nash-Based Distributed MPC for Multi-Rate Systems....Pages 341-353
Front Matter....Pages 355-355
Cooperative Dynamic MPC for Networked Control Systems....Pages 357-373
Parallel Implementation of Hybrid MPC....Pages 375-392
A Hierarchical MPC Approach with Guaranteed Feasibility for Dynamically Coupled Linear Systems....Pages 393-406
Distributed MPC Based on a Team Game....Pages 407-419
Distributed MPC: A Noncooperative Approach Based on Robustness Concepts....Pages 421-435
Decompositions of Augmented Lagrange Formulations for Serial and Parallel Distributed MPC....Pages 437-450
A Hierarchical Distributed MPC Approach: A Practical Implementation....Pages 451-464
Distributed MPC Based on Agent Negotiation....Pages 465-477
Lyapunov-Based Distributed MPC Schemes: Sequential and Iterative Approaches....Pages 479-494
Multi-layer Decentralized MPC of Large-scale Networked Systems....Pages 495-515
Distributed MPC Using Reinforcement Learning Based Negotiation: Application to Large Scale Systems....Pages 517-533
Hierarchical MPC for Multiple Commodity Transportation Networks....Pages 535-552
On the Use of Suboptimal Solvers for Efficient Cooperative Distributed Linear MPC....Pages 553-568
Cooperative Distributed MPC Integrating a Steady State Target Optimizer....Pages 569-584
Cooperative MPC with Guaranteed Exponential Stability....Pages 585-600

✦ Subjects

Control; Vibration, Dynamical Systems, Control; Systems Theory, Control; Organization/Planning; Simulation and Modeling