Distributed Model Predictive Control Made Easy

Table of Contents

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   Book Overview
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   Chapter 1 On 35 Approaches for Distributed MPC Made Easy
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   Chapter 2 Bargaining Game Based Distributed MPC
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   Chapter 3 Distributed Model Predictive Control Made Easy
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   Chapter 4 Price-driven Coordination for Distributed NMPC Using a Feedback Control Law
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   Chapter 5 Distributed MPC for Consensus and Synchronization
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   Chapter 6 Distributed MPC Under Coupled Constraints Based on Dantzig-Wolfe Decomposition
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   Chapter 7 Distributed MPC Via Dual Decomposition and Alternative Direction Method of Multipliers
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   Chapter 8 D-SIORHC, Distributed MPC with Stability Constraints Based on a Game Approach
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    Chapter 9 A Distributed-in-Time NMPC-Based Coordination Mechanism for Resource Sharing Problems
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    Chapter 10 Rate Analysis of Inexact Dual Fast Gradient Method for Distributed MPC
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    Chapter 11 Distributed MPC Via Dual Decomposition
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    Chapter 12 Distributed Optimization for MPC of Linear Dynamic Networks
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    Chapter 13 Adaptive Quasi-Decentralized MPC of Networked Process Systems
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    Chapter 14 Distributed Lyapunov-Based MPC
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    Chapter 15 A Distributed Reference Management Scheme in Presence of Non-Convex Constraints: An MPC Based Approach
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    Chapter 16 The Distributed Command Governor Approach in a Nutshell
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    Chapter 17 Mixed-Integer Programming Techniques in Distributed MPC Problems
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    Chapter 18 Distributed MPC of Interconnected Nonlinear Systems by Dynamic Dual Decomposition
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    Chapter 19 Generalized Accelerated Gradient Methods for Distributed MPC Based on Dual Decomposition
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    Chapter 20 Distributed Multiple Shooting for Large Scale Nonlinear Systems
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    Chapter 21 Nash-Based Distributed MPC for Multi-Rate Systems
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    Chapter 22 Cooperative Dynamic MPC for Networked Control Systems
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    Chapter 23 Parallel Implementation of Hybrid MPC
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    Chapter 24 A Hierarchical MPC Approach with Guaranteed Feasibility for Dynamically Coupled Linear Systems
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    Chapter 25 Distributed MPC Based on a Team Game
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    Chapter 26 Distributed MPC: A Noncooperative Approach Based on Robustness Concepts
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    Chapter 27 Decompositions of Augmented Lagrange Formulations for Serial and Parallel Distributed MPC
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    Chapter 28 A Hierarchical Distributed MPC Approach: A Practical Implementation
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    Chapter 29 Distributed MPC Based on Agent Negotiation
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    Chapter 30 Lyapunov-Based Distributed MPC Schemes: Sequential and Iterative Approaches
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    Chapter 31 Multi-layer Decentralized MPC of Large-scale Networked Systems
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    Chapter 32 Distributed MPC Using Reinforcement Learning Based Negotiation: Application to Large Scale Systems
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    Chapter 33 Hierarchical MPC for Multiple Commodity Transportation Networks
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    Chapter 34 On the Use of Suboptimal Solvers for Efficient Cooperative Distributed Linear MPC
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    Chapter 35 Cooperative Distributed MPC Integrating a Steady State Target Optimizer
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    Chapter 36 Cooperative MPC with Guaranteed Exponential Stability