Swarm Stability and Optimization

Author:   Veysel Gazi ,  Kevin M. Passino
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   2011 ed.
ISBN:  

9783642422706


Pages:   299
Publication Date:   28 November 2014
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Swarm Stability and Optimization


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Overview

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.

Full Product Details

Author:   Veysel Gazi ,  Kevin M. Passino
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   2011 ed.
Dimensions:   Width: 15.50cm , Height: 1.70cm , Length: 23.50cm
Weight:   0.492kg
ISBN:  

9783642422706


ISBN 10:   3642422705
Pages:   299
Publication Date:   28 November 2014
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

Reviews

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)


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