Name: Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches (en Inglés)
Price: 274960.00 CLP
Availability: InStock
Author: Lewis, Frank L. ; Zhang, Hongwei ; Hengster-Movric, Kristian
ISBN: 9781447171942

portada Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches (en Inglés)

Formato

Libro Físico

Autor

Hongwei Zhang

Frank L. Lewis

Kristian Hengster-Movric

Editorial

Springer

Idioma

Inglés

N° páginas

307

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 1.8 cm

Peso

0.46 kg.

ISBN13

9781447171942

Categorías

Ingeniería de control automático
Tecnología aeroespacial y aeronáutica
Astronáutica
Inteligencia artificial

Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches (en Inglés)

Hongwei Zhang (Autor) · Frank L. Lewis (Autor) · Kristian Hengster-Movric (Autor) · Springer · Tapa Blanda

Libro Físico

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches (en Inglés)"

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.