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Iterative Learning Control for Multi-agent Systems Coordination 2017

1. Cover

2. Title Page

3. Table of Contents

4. Preface

1 Introduction

2 Optimal Iterative Learning Control for Multi‐agent Consensus Tracking

3 Iterative Learning Control for Multi‐agent Coordination Under Iteration‐Varying Graph

4 Iterative Learning Control for Multi‐agent Coordination with Initial State Error

5 Multi‐agent Consensus Tracking with Input Sharing by Iterative Learning Control

6 A HOIM‐Based Iterative Learning Control Scheme for Multi‐agent Formation

7 P‐type Iterative Learning for Non‐parameterized Systems with Uncertain Local Lipschitz Terms

8 Synchronization for Nonlinear Multi‐agent Systems by Adaptive Iterative Learning Control

9 Distributed Adaptive Iterative Learning Control for Nonlinear Multi‐agent Systems with State Constraints

10 Synchronization for Networked Lagrangian Systems under Directed Graphs

11 Generalized Iterative Learning for Economic Dispatch Problem in a Smart Grid

12 Summary and Future Research Directions

17. Appendix A: Graph Theory Revisit

18. Appendix B: Detailed Proofs

19. Bibliography

20. Index

21. End User License Agreement