Advanced Distributed Consensus for Multiagent Systems

Advanced Distributed Consensus for Multiagent Systems
Author :
Publisher : Academic Press
Total Pages : 396
Release :
ISBN-10 : 9780128232033
ISBN-13 : 012823203X
Rating : 4/5 (33 Downloads)

Book Synopsis Advanced Distributed Consensus for Multiagent Systems by : Magdi S. Mahmoud

Download or read book Advanced Distributed Consensus for Multiagent Systems written by Magdi S. Mahmoud and published by Academic Press. This book was released on 2020-12-05 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. - Gathers together the theoretical preliminaries and fundamental issues related to multiagent systems and controls - Provides coherent results on adopting a multiagent framework for critically examining problems in smart microgrid systems - Presents advanced analysis of multiagent systems under cyberphysical attacks and develops resilient control strategies to guarantee safe operation


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