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Cooperative Control of Complex Network Systems with Dynamic Topologies (eBook)

Artikelnummer: 978-1-00-040019-9
Einband: Adobe Digital Editions
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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Far from being separate entities, many social and engineering systems can be considered as complex network systems (CNSs) associated with closely linked interactions with neighbouring entities such as the Internet and power grids. Roughly speaking, a CNS refers to a networking system consisting of lots of interactional individuals, exhibiting fascinating collective behaviour that cannot always be anticipated from the inherent properties of the individuals themselves.

As one of the most fundamental examples of cooperative behaviour, consensus within CNSs (or the synchronization of complex networks) has gained considerable attention from various fields of research, including systems science, control theory and electrical engineering. This book mainly studies consensus of CNSs with dynamics topologies - unlike most existing books that have focused on consensus control and analysis for CNSs under a fixed topology. As most practical networks have limited communication ability, switching graphs can be used to characterize real-world communication topologies, leading to a wider range of practical applications.

This book provides some novel multiple Lyapunov functions (MLFs), good candidates for analysing the consensus of CNSs with directed switching topologies, while each chapter provides detailed theoretical analyses according to the stability theory of switched systems. Moreover, numerical simulations are provided to validate the theoretical results. Both professional researchers and laypeople will benefit from this book.

Far from being separate entities, many social and engineering systems can be considered as complex network systems (CNSs) associated with closely linked interactions with neighbouring entities such as the Internet and power grids. Roughly speaking, a CNS refers to a networking system consisting of lots of interactional individuals, exhibiting fascinating collective behaviour that cannot always be anticipated from the inherent properties of the individuals themselves.

As one of the most fundamental examples of cooperative behaviour, consensus within CNSs (or the synchronization of complex networks) has gained considerable attention from various fields of research, including systems science, control theory and electrical engineering. This book mainly studies consensus of CNSs with dynamics topologies - unlike most existing books that have focused on consensus control and analysis for CNSs under a fixed topology. As most practical networks have limited communication ability, switching graphs can be used to characterize real-world communication topologies, leading to a wider range of practical applications.

This book provides some novel multiple Lyapunov functions (MLFs), good candidates for analysing the consensus of CNSs with directed switching topologies, while each chapter provides detailed theoretical analyses according to the stability theory of switched systems. Moreover, numerical simulations are provided to validate the theoretical results. Both professional researchers and laypeople will benefit from this book.

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VerlagTaylor & Francis Ebooks
EinbandAdobe Digital Editions
Erscheinungsjahr2021
Seitenangabe304 S.
AusgabekennzeichenEnglisch
Abbildungen109 schwarz-weiße Abbildungen, 109 schwarz-weiße Zeichnungen
Auflage21001 A. 1. Auflage
PlattformEPUB
AutorWen, Guanghui / Yu, Wenwu / Lv, Yuezu / Wang, Peijun

Über den Autor Guanghui Wen

Guanghui Wen (Senior Member, IEEE) is Endowed Chair Professor at the School of Automation, Southeast University, Nanjing, China. Prof. Wen was the recipient of the National Science Fund for Distinguished Young Scholars and Australian Research Council Discovery Early Career Researcher Award. His current research interests include autonomous intelligent systems, complex networked systems, distributed control and optimization, resilient control, and distributed reinforcement learning.Yuezu Lv (Senior member, IEEE) is currently the Associate Professor at the State Key Laboratory of CNS/ATM, Beijing Institute of Technology, Beijing, China. Dr. Lv served as a Program Committee Member for the 2019 International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing. He was a finalist for Zhang Si-Ying Outstanding Youth Paper Award in 2015. His research interests include cooperative control of multiagent systems and adaptive control.Dan Zhao (Member, IEEE) is currently the Assistant Researcher at the School of Mathematics, Southeast University, Nanjing, China. Dr. Zhao was selected for the ninth 2023 Young Elite Scientists Sponsorship by China Association for Science and Technology. Her research interests include multi-agent systems, attack detection and isolation, and distributed resilient control. Xuqiang Lei (Member, IEEE) is currently the Assistant Researcher at the School of Mathematics, Southeast University, Nanjing, China. Dr. Lei was the recipient of the seventh 2023 Chinese Conference on swarm Intelligence and Cooperative Control (CCSICC) Best Student Paper Award and the Society of Instrument and Control Engineers (SICE) Annual Conference 2023 Student Travel Grant Award. His research interests include cyber-physical systems, distributed secure state monitoring, and resilient consensus control.

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