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沃新书屋 -
Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches -
出版社：Springer
Springer
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Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches书籍相关信息
- ISBN：9781447171942
- 作者：阿比吉特•达斯古普塔（Abhijit Dasgupta） / Frank L. Lewis / Hongwei Zhang / Kristian Hengster-Movric
- 出版社：Springer
- 出版时间：2016-8-23
- 页数：327
- 价格：USD 147.50
- 纸张：暂无纸张
- 装帧：Paperback
- 开本：暂无开本
- 语言：暂无语言
- 适合人群：Academic Researchers, Control Engineers, Robotics Engineers, Computer Scientists, AI Researchers, Graduate Students in related fields, Professionals working in automation and control systems
- TAG：Machine Learning / Robotics / Artificial Intelligence / Control Theory / optimization / Adaptive Control / Multi-Agent Systems / Distributed Algorithms
- 豆瓣评分：暂无豆瓣评分
- 更新时间：2025-05-17 02:39:56
内容简介：
Cooperative Control of Multi-Agent Systems extends optimal control and adaptive control design methods to multi-agent systems on communication graphs. It develops Riccati design techniques for general linear dynamics for cooperative state feedback design, cooperative observer design, and cooperative dynamic output feedback design. Both continuous-time and discrete-time dynamical multi-agent systems are treated. Optimal cooperative control is introduced and neural adaptive design techniques for multi-agent nonlinear systems with unknown dynamics, which are rarely treated in literature are developed. Results spanning systems with first-, second- and on up to general high-order nonlinear dynamics are presented.Each control methodology proposed is developed by rigorous proofs. All algorithms are justified by simulation examples. The text is self-contained and will serve as an excellent comprehensive source of information for researchers and graduate students working with multi-agent systems.