Prof.Guanghui Wen
Speech Title:
Distributed Consensus and Optimization of Multi-Agent Systems with Switching Communication Graphs
Abstract:
Distributed consensus and optimization of multi-agent systems have garnered significant attention across various scientific research communities. In order to attain the objectives of distributed consensus and optimization within the whole group, agents must engage in communication with their neighboring agents. However, the underlying communication graph among agents is prone to time-varying characteristics, owing to factors like limited communication range and communication link failures. In this talk, distributed leaderless and leader-following consensus for general multi-agent systems under directed switching communication graphs will be discussed. Additionally, we will delve into the topic of distributed robust optimization of multi-agent systems with matched linearly-parameterized unknown nonlinearities and stochastically switching communication graph. The first part of the talk will focus on the study of leaderless consensus of general linear multi-agent systems under switching directed topologies. The second part will present several theoretical results on consensus tracking of multi-agent systems with general linear and Lipschitz-type nonlinear multi-agent systems under directed switching communication graph. These results will demonstrate that consensus tracking can be achieved in such multi-agent systems through appropriately designed protocols, provided that the dwell-time for each possible communication graph exceeds a certain threshold value. Subsequently, we will delve into theoretical findings concerning distributed robust optimization for general linear multi-agent systems subject to matched linearly-parameterized unknown nonlinearities and stochastically switching matrix-weighted communication graphs will be provided and discussed. At last, some simulation results are provided for illustration.
Bio of lecturer:
Guanghui Wen received the Ph.D. degree in mechanical systems and control from Peking University, Beijing, China, in 2012.
Currently, he is a Young Endowed Chair Professor with the Department of Systems Science, Southeast University, Nanjing, China. His current research interests include autonomous intelligent systems, complex networked systems, distributed control and optimization, resilient control, and distributed reinforcement learning.
Prof. Wen was awarded the National Science Fund for Distinguished Young Scholars in 2023. Moreover, he was a recipient of the Australian Research Council Discovery Early Career Researcher Award in 2017 and a recipient of the Asia Pacific Neural Network Society Young Researcher Award in 2019. He is a reviewer for American Mathematical Review and is an active reviewer for many journals. He currently serves as an Associate Editor of the IEEE Transactions on Industrial Informatics, the IEEE Transactions on Neural Networks and Learning Systems, the IEEE Transactions on Intelligent Vehicles, the IEEE Journal of Emerging and Selected Topics in Industrial Electronics, the IEEE Transactions on Systems, Man and Cybernetics: Systems, the IEEE Open Journal of the Industrial Electronics Society, and the Asian Journal of Control. Prof. Wen was a recipient of the Outstanding Associate Editors of Asian Journal of Control in the year of 2021. He has been named a Highly Cited Researcher by Clarivate Analytics since 2018. He is an IET Fellow.
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