Yang Cao (香港大学)学术报告（2018年10月31日）

报告题目：Distributed Cooperative Control for Multi-Agent Systems: Nonlinear Dynamics, Time-varying Topologies and Neural Adaptive Controls

报告人：Yang Cao (香港大学)

时间：2018年10月31日（星期三）14:00

地点：仙林校区自动化学科楼321会议室

主办单位：bat365官网登录入口、bat365中文官方网站官网、科研院

Abstract：

Distributed control and optimization of multi-agent systems (MAS) have become a very active and exciting research topic in the recent decades across various science and engineering fields, such as smart-grid coordination, swam robots and unmanned autonomous vehicles, techno-social systems, distributed financed and so on. In this seminar, we aim to tackle three essential issues in the distributed cooperative control for multi-agent systems: nonlinear dynamics, time-varying topologies and neural adaptive controls. This talk will firstly survey several distinct recent developments of these different research directions. Then, we shall briefly present our results and will describe the core mathematical methods, such as bounded-real lemma, nonnegative matrix theory, sliding-mode control, MLP learning, artificial mechanical fields and the Lyapunov stability analysis. Finally, a numerical simulation to visualize and verify the effectiveness of the theoretical analysis will be provided and a critical outlook of these directions will also be discussed.

报告人简介：

Yang Cao (S’13) is currently pursuing the Ph.D. degree with the Department of Mechanical Engineering, The University of Hong Kong, Hong Kong. His current research interests include cooperative estimation and control of dynamical networks, adaptive, and optimal control. Mr. Cao received the Outstanding Undergraduate Thesis Award of Jiangsu Province, China, in 2014.