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

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Paper Publications

Distributed Extremum Seeking for Optimal Resource Allocation and Its Application to Economic Dispatch in Smart Grids

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Date:2019-11-01

Indexed by:Journal Papers

Date of Publication:2019-10-01

Journal:IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

Included Journals:SCIE

Volume:30

Issue:10

Page Number:3161-3171

ISSN:2162-237X

Key Words:Distributed optimization; economic dispatch; extremum-seeking; multiagent system; resource allocation

Abstract:This paper proposes a first-order extremum-seeking algorithm to solve the resource allocation problem, where the specific expression form and gradient information of the local cost functions are not required. Agents take advantage of measurements of local cost functions to minimize the sum of their cost functions while satisfying the resource constraint, where agents exchange the estimated decisions with their neighbors under an undirected and connected graph. Making use of the Lyapunov stability theory and the average analysis method, the convergence of the proposed algorithm to the neighborhood of the optimal solution is presented. In addition, it is obtained that the designed algorithm is semiglobally practically asymptotically stable. Then, the first-order algorithm is extended to the second-order algorithm with low-pass filters, which achieves better convergence performance than the first-order algorithm. Finally, the effectiveness of the proposed algorithm is illustrated by numerical examples and its application to economic dispatch in smart grids.

Personal Profile

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.


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