Overview
Provides synthesis-based methodology for team cooperation
Introduces a consensus-protocol optimized performance index
Offers comparisons for use of proper indices in measuring team performance
Analyzes and predicts performance of previously designed consensus algorithms
Analyses and predicts team behavior in the presence of non-ideal considerations such as actuator anomalies and faults as well as the evolutions in the structure of the information exchange
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Table of contents (6 chapters)
Keywords
About this book
Team Cooperation in a Network of Multi-Vehicle Unmanned Systems develops a framework for modeling and control of a network of multi-agent unmanned systems in a cooperative manner and with consideration of non-ideal and practical considerations. The main focus of this book is the development of “synthesis-based” algorithms rather than on conventional “analysis-based” approaches to the team cooperation, specifically the team consensus problems. The authors provide a set of modified “design-based” consensus algorithms whose optimality is verified through introduction of performance indices.
Reviews
From the book reviews:
“The book is structured in six chapters, a rich list of references, an index terms, a list of explanations of the figures which are included. … The book is targeted for researchers, scientists and graduate-level university students who are interested in becoming familiar with design of consensus-seeking algorithms in the general area of networked dynamical systems.” (Vasile Dragan, zbMATH, Vol. 1304, 2015)Authors and Affiliations
About the authors
Dr. Elham Semsar-Kazerooni, University of Toronto, elham.semsar.kazerooni@utoronto.ca
Bibliographic Information
Book Title: Team Cooperation in a Network of Multi-Vehicle Unmanned Systems
Book Subtitle: Synthesis of Consensus Algorithms
Authors: Elham Semsar-Kazerooni, Khashayar Khorasani
DOI: https://doi.org/10.1007/978-1-4614-5073-3
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media New York 2013
Hardcover ISBN: 978-1-4614-5072-6Published: 21 November 2012
Softcover ISBN: 978-1-4899-8719-8Published: 13 December 2014
eBook ISBN: 978-1-4614-5073-3Published: 26 November 2012
Edition Number: 1
Number of Pages: XXIV, 152
Topics: Control, Robotics, Mechatronics, Artificial Intelligence, Computational Intelligence