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Advanced Distributed Consensus for Multiagent Systems

Jezik AngleščinaAngleščina
E-knjiga Adobe ePub DRM
E-knjiga Advanced Distributed Consensus for Multiagent Systems Magdi S. Mahmoud
Koda Libristo: 39582824
Založba Academic Press, december 2020
Advanced Distributed Consensus for Multiagent Systems contributes to the further development of adva... Celoten opis
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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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O knjigi

Polni naslov Advanced Distributed Consensus for Multiagent Systems
Jezik Angleščina
Vezava E-knjiga - Adobe ePub DRM
Datum izida 2020
Število strani 394
EAN 9780128232033
Koda Libristo 39582824
Založba Academic Press
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