Wang David
Professor Supervisor of Doctorate Candidates Supervisor of Master's Candidates
Gender:Male
Alma Mater:Dalian University of Technology
Degree:Doctoral Degree
School/Department:School of Control Science and Engineering
Discipline:Control Theory and Control Engineering. Pattern Recognition and Intelligence System. Navigation, Guidance and Control
Contact Information:
Hits:
Date:2019-03-11
Indexed by:Journal Article
Date of Publication:2017-06-01
Journal:IEEE TRANSACTIONS ON CONTROL OF NETWORK SYSTEMS
Included Journals:EI、SCIE
Volume:4
Issue:2
Page Number:202-212
ISSN:2325-5870
Key Words:Distributed control; Lipschitz nonlinearity; multiagent systems; quantized consensus; switching topologies
Abstract:This paper investigates the distributed quantized H-infinity consensus problems for general linear and Lipschitz nonlinear multiagent systems with input quantization mismatch and external disturbances under switching weighted undirected or balanced directed topologies. The designed distributed quantized H-infinity consensus protocol can be divided into two parts which are linear and nonlinear parts. The linear part plays a role in achieving satisfactory performance against interval-bounded model uncertainties, external disturbances, and unknown initial states. The nonlinear part eliminates the effect of input quantization. It should be mentioned that complete consensus instead of practical consensus can be achieved in the presence of uniform quantization. In addition, instead of requiring the coupling strength among neighboring agents to be larger than a threshold value as in previous literature, the coupling strength in this paper can be determined by solving some linear matrix inequalities. Sufficient conditions for the existence of the proposed control strategy are also obtained by using the LMI technique. Finally, two numerical examples are presented to show the effectiveness and advantages of the proposed consensus strategy.
Dong Wang received the B.Sc. degree in automation and the M. Eng. degree in control theory and control engineering from the Shenyang University of Technology, Shenyang, China, in 2003 and 2006, respectively, and Ph.D. degree in control theory and control engineering from the Dalian University of Technology, China, in 2010. Since 2010, he has been with the Dalian University of Technology, China, where he is currently a professor with the School of Control Science and Engineering. His current research interests include multi-agent systems, distributed control, distributed optimization, swarm robotics and switched systems.
He has published 1 monograph in Springer, and published and accepted more than 120 papers in core journals and conferences, including 5 papers 4 regular papers in Automatica, 4 papers in IEEE Transactions on Automatic Control, with a total of more than 2,900 citations from Google Scholar.
He serves as an associate editor of the journals, IEEE Transactions on Industrial Informatics, Information Sciences and Neurocomputing, and an editorial board member of the core journals, such as, Control Theory and Applications, and CAAI Transactions on Intelligent Systems. He served as the Secretary-General of the 36th China Control Conference and the 25th China Process Control Conference, the Deputy Director of the Youth Working Committee of the Chinese Command and Control Society, a senior member of the IEEE, a member of the Chinese Society of Automation, a member of the Chinese Society of Artificial Intelligence, a member of the Chinese Command and Control Society, and a member of the Program Committee of several international conferences.
