Cooperative Control Of Multi-Agent Systems: Optimal And Adaptive Design Approaches (Communications And Control Engineering)

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.

• • Author: Frank L. Lewis, Hongwei Zhang, Kristian Hengster-Movric, Abhijit Das
• • Publisher: Springer
• • Publication Date: Jan 21, 2014
• • Number of Pages: 327 pages
• • Language: English
• • Binding: Hardcover
• • ISBN-10: 1447155734
• • ISBN-13: 9781447155737