分散最適化と学習：コントロール理論の視点 Distributed Optimization and Learning : A Control-Theoretic Perspective

Li, Zhongguo/ Ding, Zhengtao

Academic Press Inc（2024/07発売）

• 製本 Paperback:紙装版/ペーパーバック版／ページ数 286 p.
• 言語 ENG
• 商品コード 9780443216367
• DDC分類 629.83120285

Full Description

Distributed Optimization and Learning: A Control-Theoretic Perspective illustrates the underlying principles of distributed optimization and learning. The book presents a systematic and self-contained description of distributed optimization and learning algorithms from a control-theoretic perspective. It focuses on exploring control-theoretic approaches and how those approaches can be utilized to solve distributed optimization and learning problems over network-connected, multi-agent systems. As there are strong links between optimization and learning, this book provides a unified platform for understanding distributed optimization and learning algorithms for different purposes.

Contents

Part I. Fundamental Concepts and Algorithms
1. Introduction to distributed optimisation and learning
2. A control perspective to single agent optimisation
3. Centralised optimisation and learning
4. Distributed frameworks. consensus, optimisation and learning
5. Distributed unconstrained optimisation
6. Constrained optimisation for resource allocation
7. Non-cooperative optimisation

Part II. Advanced Algorithms and Applications
8. Output regulation to time-varying optimisation
9. Adaptive control to optimisation over directed graphs
10. Event-triggered control to optimal coordination
11. Fixed-time control to cooperative and competitive optimisation
12. Robust and adaptive control to competitive optimisation
13. Surrogate-model assisted algorithms to distributed optimisation
14. Discrete-time algorithms for supervised learning
15. Discrete-time output regulation for optimal robot coordination