Overview
- Presents generally applicable distributed formation control algorithms
- Helps the reader to overcome perceived shortcomings with widespread consensus-base methods
- Provides a framework for motivating new research and background to establish graduate students in the subject
Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 205)
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Table of contents (13 chapters)
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Front Matter
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Background
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Front Matter
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Gradient Control Laws
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Front Matter
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Orientation Alignment-based Approaches
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Front Matter
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Bearing-Based Formation Control
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Front Matter
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Advanced Topics
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Front Matter
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Back Matter
Keywords
About this book
Keeping pace with recent technological advancements in control, communications, sensing and computation that have begun to bring the applications of distributed-systems theory out of the industrial sphere and into that of day-to-day life, this monograph provides distributed control algorithms for a group of agents that may behave together. Unlike traditional control laws that usually require measurements with respect to a global coordinate frame and communications between a centralized operation center and agents, this book provides control laws that require only relative measurements and communications between agents without interaction with a centralized operator. Since the control algorithms presented in this book do not require any global sensing and any information exchanges with a centralized operation center, they can be realized in a fully distributed way, which significantly reduces the operation and implementation costs of a group of agents.
Formation Control will give both students and researchers interested in pursuing this field a good grounding on which to base their work.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Formation Control
Book Subtitle: Approaches for Distributed Agents
Authors: Hyo-Sung Ahn
Series Title: Studies in Systems, Decision and Control
DOI: https://doi.org/10.1007/978-3-030-15187-4
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-15186-7Published: 09 April 2019
eBook ISBN: 978-3-030-15187-4Published: 29 March 2019
Series ISSN: 2198-4182
Series E-ISSN: 2198-4190
Edition Number: 1
Number of Pages: XX, 360
Number of Illustrations: 57 b/w illustrations, 35 illustrations in colour
Topics: Control and Systems Theory, Artificial Intelligence, Communications Engineering, Networks, Robotics and Automation