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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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.
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Keywords
Table of contents (6 chapters)
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. Khashayar Khorasani, Concordia University, kash@ece.concordia.ca
Dr. Elham Semsar-Kazerooni, University of Toronto, elham.semsar.kazerooni@utoronto.ca
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