Cooperative Control of Multi-Agent Systems - Optimal and Adaptive Design Approaches (Paperback, Softcover reprint of the original 1st ed. 2014)

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.

General

Imprint:	Springer London
Country of origin:	United Kingdom
Series:	Communications and Control Engineering
Release date:	August 2016
First published:	2014
Authors:	Frank L. Lewis • Hongwei Zhang • Kristian Hengster-Movric • Abhijit Das
Dimensions:	235 x 155 x 25mm (L x W x T)
Format:	Paperback
Pages:	307
Edition:	Softcover reprint of the original 1st ed. 2014
ISBN-13:	978-1-4471-7194-2
Categories:	Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Professional & Technical > Transport technology > Aerospace & aviation technology > General Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	1-4471-7194-2
Barcode:	9781447171942

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