Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches
Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches
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.
Ebook format: PDFEach 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.
Ebook page: 263
File size: 3.98 MB
$50.00
Posts
