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Swarm Stability and Optimization

Autor Veysel Gazi, Kevin M. Passino
en Limba Engleză Paperback – 27 noi 2014
Swarming species such as flocks of birds or schools of fish exhibit
fascinating collective behaviors during migration and predator
avoidance.  Similarly, engineered multi-agent dynamic systems such as groups of autonomous ground, underwater, or air vehicles (“vehicle swarms”) exhibit sophisticated collective behaviors while maneuvering.
In this book we show how to model and control a wide range of such
multi-agent dynamic systems and analyze their collective behavior
using both stability theoretic and simulation-based approaches. In
particular, we investigate problems such as group aggregation, social
foraging, formation control, swarm tracking, distributed agreement,
and engineering optimization inspired by swarm behavior.
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Specificații

ISBN-13: 9783642422706
ISBN-10: 3642422705
Pagini: 320
Ilustrații: XVII, 299 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:2011
Editura: Springer Berlin, Heidelberg
Colecția Springer
Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Part I Basic Principles.- Part II Continuous Time Swarms.- Part III Discrete Time Swarms.- Part IV Swarm Based Optimization Methods.

Recenzii

From the reviews:
“The book is intended as a textbook for a course on multiagent dynamic systems; as a supplementary book in courses on nonlinear control systems, optimization, or discrete-time control systems; or as a reference book for graduate students, researchers, and engineers performing studies or implementation work in the area of multiagent dynamic systems.” (IEEE Control Systems Magazine, Vol. 31, October, 2011)

Textul de pe ultima copertă

Swarming species such as flocks of birds or schools of fish exhibit
fascinating collective behaviors during migration and predator
avoidance.  Similarly, engineered multi-agent dynamic systems such as groups of autonomous ground, underwater, or air vehicles (“vehicle swarms”) exhibit sophisticated collective behaviors while maneuvering.
In this book we show how to model and control a wide range of such
multi-agent dynamic systems and analyze their collective behavior
using both stability theoretic and simulation-based approaches. In
particular, we investigate problems such as group aggregation, social
foraging, formation control, swarm tracking, distributed agreement,
and engineering optimization inspired by swarm behavior.

Caracteristici

Complete coverage of swarms
Includes the Basic Principles, Biological Concepts, Theoretical Foundations, Engineering applications of Swarms
Foundations of Swarm Stability and Swarm control