Collective Behavior and Formation Pattern of Multi-agent Systems | Theory and algorithms of managing sensor network deployment

Zhao Cheng

ISBN 10: 3639374797 / ISBN 13: 9783639374797

Published by VDM Verlag Dr. Müller, 2011

About this Item

Collective Behavior and Formation Pattern of Multi-agent Systems | Theory and algorithms of managing sensor network deployment | Zhao Cheng | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639374797 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 106865408

Bibliographic Details

• Title: Collective Behavior and Formation Pattern of Multi-agent Systems | Theory and algorithms of managing sensor network deployment
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2011
• Language: English
• ISBN 10: 3639374797
• ISBN 13: 9783639374797
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 120 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book presents both the theoretical foundation and numerical simulations for design and analysis of a multi-agent dynamic system on the collective formation behavior patterns of grouped agents. A mass model with tunable control parameters is proposed. This model can realistically represent the aggregation pattern and the formation shape of multiple agents. Stability analysis is also provided to prove the stability of the given second-order dynamic system. Several simulations are also given according to the proposed model to show formation patterns and their collective behavior. The research on self-organizing characteristics of collective behaviors has a wide range of applications in nature and engineering. The formation such as a flock of birds, a school of fish, or a swarm of locusts, is the emergence of ordered state in which the moving agents can be self organized as formation. Design and control of the self-organizing dynamic system has also implications on deployment of mobile wireless sensor networks, attitude alignment of satellite clusters and congestion control of communication networks.

About the Author

Zhao Cheng received his Bachelor's degree from Huazhong University of Science and Technology, China and Master's degree from Temple University. He is currently working with medical and acoustic imaging instruments. His research interest includes multi-agent system, collective control, sensor networks, robotics and medical/acoustic imaging.