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  • Book
  • © 2011

Swarm Stability and Optimization

  • Complete coverage of swarms

  • Includes the Basic Principles, Biological Concepts, Theoretical Foundations, Engineering applications of Swarms

  • Foundations of Swarm Stability and Swarm control

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Table of contents (12 chapters)

  1. Front Matter

  2. Basic Principles

    1. Front Matter

      Pages 1-1
    2. Introduction

      • Veysel Gazi, Kevin M. Passino
      Pages 3-14
    3. Swarm Coordination and Control Problems

      • Veysel Gazi, Kevin M. Passino
      Pages 15-25
  3. Continuous Time Swarms

    1. Front Matter

      Pages 27-27
    2. Swarms of Single Integrator Agents

      • Veysel Gazi, Kevin M. Passino
      Pages 29-73
    3. Swarms of Double Integrator Agents

      • Veysel Gazi, Kevin M. Passino
      Pages 75-105
    4. Swarms of Fully Actuated Agents with Model Uncertainty

      • Veysel Gazi, Kevin M. Passino
      Pages 107-123
    5. Swarms of Non-holonomic Unicycle Agents with Model Uncertainty

      • Veysel Gazi, Kevin M. Passino
      Pages 125-149
    6. Formation Control Using Nonlinear Servomechanism

      • Veysel Gazi, Kevin M. Passino
      Pages 151-173
  4. Discrete Time Swarms

    1. Front Matter

      Pages 175-175
    2. One-Dimensional Discrete-Time Swarm

      • Veysel Gazi, Kevin M. Passino
      Pages 177-195
    3. Asynchronous Distributed Agreement in Discrete Time Swarms

      • Veysel Gazi, Kevin M. Passino
      Pages 197-217
    4. Formation Control with Potential Functions and Newton’s Iteration

      • Veysel Gazi, Kevin M. Passino
      Pages 219-230
  5. Swarm Based Optimization Methods

    1. Front Matter

      Pages 231-231
    2. Bacteria Foraging Optimization

      • Veysel Gazi, Kevin M. Passino
      Pages 233-249
    3. Particle Swarm Optimization

      • Veysel Gazi, Kevin M. Passino
      Pages 251-279
  6. Back Matter

About this book

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.

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)

Authors and Affiliations

  • Firuzkoy Mahallesi , Avcilar, Turkey

    Veysel Gazi

  • Department of Electrical and Computer Engineering, The Ohio State University , Columbus, USA

    Kevin M. Passino

Bibliographic Information

Buy it now

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access