Dr. Bohui Wang学术报告

作者:发布时间:2019-08-09浏览次数:105

Title:Stable consensus of heterogeneous nonlinear multi-agent systems under a dynamic leader-follower framework
Speaker: Dr. Bohui Wang
Department of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
时间:2018年11月15日09:00-10:00
地点:二教南524

Abstract: This talk addresses the stable consensus problem for heterogeneous nonlinear multi-agent systems under a dynamic leader-follower framework. The main tasks are to develop the friendly control and optimal design strategies by constructing the compensation controllers and scheduling the limited information interaction under the switching dynamics environment. For both aims, the error dynamics of the equilibrium point of heterogeneous nonlinear multi-agent systems are allowed to be distributed estimates, accordingly, presenting the advancements in this paper outside of the visions of existing works both in systems dynamics and in control. By developing a novel mechanism of the dwell time of switching communication topologies, we propose the sufficient conditions of the control design for heterogeneous nonlinear multi-agent systems subject to switching interaction dynamics, in which the evolution of the equilibrium point of the systems is affected by a leader with external dynamically unknown and switching inputs. Finally, the proposed approaches are demonstrated by the simulations.

Short Biography:Dr. Bohui Wang received his BS and MS degrees in computer science and technology from Shaanxi University of Technology and Xian University of Science and Technology, Shaanxi, China, in 2009 and 2012, respectively, and the Ph.D. degree in control science and engineering from Shanghai Jiao Tong University, Shanghai, China in 2016. He became a lecturer with the School of Aerospace Science and Technology, Xidian University, Xian, China in 2016. He is currently a Research Fellow with the Department of Electrical and Electronic Engineering, Nanyang Technological University, Singapore. His current research interests include multi-agent systems, machine learning, fault-tolerant control, intelligent traffic control, and cyber-physical systems.