Iterative learning control for multi-agent systems coordination /
"This book gives a comprehensive overview of the intersection between ILC and MAS, the range of topics include basic to advanced theories, rigorous mathematics to engineering practice, and linear to nonlinear systems. It addresses the crucial multi-agent coordination and control challenges that...
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| Main Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore :
John Wiley & Sons, Inc.,
2017.
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| Subjects: | |
| Online Access: | CONNECT |
Table of Contents:
- Optimal Iterative Learning Control for Multi-agent Consensus Tracking
- Iterative Learning Control for Multi-agent Coordination Under Iteration-Varying Graph
- Iterative Learning Control for Multi-agent Coordination with Initial State Error
- Multi-agent Consensus Tracking with Input Sharing by Iterative Learning Control
- A HOIM-Based Iterative Learning Control Scheme for Multi-agent Formation
- P-type Iterative Learning for Non-parameterized Systems with Uncertain Local Lipschitz Terms
- Synchronization for Nonlinear Multi-agent Systems by Adaptive Iterative Learning Control
- Distributed Adaptive Iterative Learning Control for Nonlinear Multi-agent Systems with State Constraints
- Synchronization for Networked Lagrangian Systems under Directed Graphs
- Generalized Iterative Learning for Economic Dispatch Problem in a Smart Grid
- Summary and Future Research Directions
- Appendix A: Graph Theory Revisit
- Appendix B: Detailed Proofs.
