Control and Optimization Based on Network Communication

Inbunden, Engelska, 2023

AvXi-Ming Sun,Kun-Zhi Liu,Xue-Fang Wang,Andrew R. Teel,XI-Ming Sun

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This book considers the problems of network-based control and optimization. These factors may degrade the system performance and even lead to the instability of the control systems. This book aims at providing a modeling framework and analysis approach for the general nonlinear networked control systems based on the hybrid framework.

Produktinformation

Utgivningsdatum2023-03-18
Mått155 x 235 x 13 mm
Vikt395 g
FormatInbunden
SpråkEngelska
Antal sidor120
FörlagSpringer Verlag, Singapore
ISBN9789811995330

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Elektronik och kommunikationer inom Naturvetenskap och teknik

Xi-Ming Sun was born in 1973. He obtained his Ph.D. degree from Northeastern University, China, in 2006. After that he was a postdoc in University of Glamorgan, U.K, from 2006 to 2008. He visited the University of Melbourne,Australia, in 2009 and New York University, U.S., in 2011. He is currently a professor in the School of Control Science and Engineering, Dalian University of Technology. His research interests include hybrid systems, artificial intelligence, and networked control. He has published more than 180 papers on famous academic journals and international conferences. He has been the principle investigator of the Major Program of the National Natural Science Foundation of China and the National Key R&D Project of Ministry of Science and Technology of China. He serves as a member of the technical committee on Discrete Event Hybrid Systems and Networked Systems of IFAC, and on Control Theory and Application of Chinese Association of Automation. He also serves as anassociate editor of IEEE Transactions on Cybernetics, and is a member of the editorial board of Chinese Journal of Aeronautics.

Event-triggered control for nonlinear systems with stochastic dynamics, transmission instants and protocol.- Model-based controller.- Stability analysis of event-triggered nonlinear systems under stochastic DoS attacks.- Distributed optimization with network communication.- Distributed robust Nash equilibrium seeking for aggregative games under persistent attacks.- A distributed robust two-time-scale switched algorithm for constrained aggregative games.- Conclusions and perspectives.