Advanced Distributed Consensus for Multiagent Systems

Name: Advanced Distributed Consensus for Multiagent Systems
Brand: Elsevier Science Publishing Co Inc
SKU: 9780128211861
Price: 844.87 RON
Availability: InStock

Autor: Mojeed O. Oyedeji, Yuanqing Xia

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Editura: Elsevier Science Publishing Co Inc

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Advanced Distributed Consensus for Multiagent Systems contributes to the further development of adva...

Informații despre carte

Autor

Mojeed O. Oyedeji, Yuanqing Xia

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2020

Pagini

394

EAN

9780128211861

ISBN

0128211865

Enbook ID

33011955

Editura

Elsevier Science Publishing Co Inc

Greutate

622

Dimensiuni

228 x 154 x 23

Descriere completă

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 controlsProvides coherent results on adopting a multiagent framework for critically examining problems in smart microgrid systemsPresents advanced analysis of multiagent systems under cyberphysical attacks and develops resilient control strategies to guarantee safe operation

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