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Academic Press Advanced Distributed Consensus for Multiagent Systems

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Description

Advanced Distributed Consensus for Multiagent Systems contributes to the further development of advanced distributed consensus methods for different classes of multiagent methods. The book expands the field of coordinated multiagent dynamic systems, including discussions on swarms, multi-vehicle and swarm robotics. In addition, it addresses advanced distributed methods for the important topic of multiagent systems, with a goal of providing a high-level treatment of consensus to different versions while preserving systematic analysis of the material and providing an accounting to math development in a unified way. This book is suitable for graduate courses in electrical, mechanical and computer science departments. Consensus control in multiagent systems is becoming increasingly popular among researchers due to its applicability in analyzing and designing coordination behaviors among agents in multiagent frameworks. Multiagent systems have been a fascinating subject amongst researchers as their practical applications span multiple fields ranging from robotics, control theory, systems biology, evolutionary biology, power systems, social and political systems to mention a few. Review An extensive overview of multiagent distributed control and systems From the Back Cover Consensus control in multiagent systems is becoming increasingly popular among researchers due to its applicability in analyzing and designing coordination behaviors among agents in multiagent framework. Multiagent systems have been a fascinating subject amongst researchers as their practical applications span multiple fields ranging from robotics, control theory, systems biology, evolutionary biology, power systems, social and political systems to mention a few. Advanced Distributed Consensus for Multiagent Systems contributes to the further development of advanced distributed consensus methods for different classes of multiagent methods. It expands the field of coordinated multiagent dynamic systems including swarms, multi-vehicle and swarm robotics that has become increasingly popular in recent years. The book addresses advanced distributed methods for this important topic of multiagent systems. The main goal is to provide a high-level treatment of the consensus problem to different versions MAS while preserving systematic analysis of the material and providing account to the math development in a unified way. This book is suitable for graduate courses in electrical, mechanical and computer science departments About the Author Magdi S. Mahmoud is Distinguished Professor at the King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia. He is the recipient of two national, one regional, and several university prizes for outstanding research in engineering and applied mathematics. He is a fellow of the IEE, a senior member of the IEEE and the CEI (United Kingdom), and a registered consultant engineer of information engineering and systems (Egypt). He is currently actively engaged in teaching and research in the development of modern methods for distributed control and filtering, networked control systems, triggering mechanisms in dynamical systems, fault-tolerant systems, and information technology. Mojeed Oyedeji is currently a Ph.D candidate in the department of systems engineering at King Fahd University of Petroleum and Minerals with interests in distributed control systems, graph theory, game theory, predictive control and optimization. He holds a Bachelor Degree in Electrical and Electronics Engineering and a Masters Degree in Systems Engineering. Yuanqing Xia has worked in the Department of Automatic Control, Beijing Institute of Technology, Beijing, since 2004, first as an associate professor, and, since 2008, as a professor. He is a Yangtze River Scholar and Chair Professor of the Beijing Institute of Technology since 2016. His current research interests are in the fields of netwo

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
11 December 2020
Listed Since
30 October 2019

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