报告题目:Robust Sampled-Data Control of Nonlinear Systems
报 告 人: 陈智勇 博士(澳大利亚 纽卡斯尔大学 高级讲师、华中科大 客座教授)
报告时间:2013年7月1 日下午3:00
报告地点:南一楼中311会议室
邀 请 方:“多谱信息处理技术”国家级重点实验室
Abstract:
Robust continuous-time control for nonlinear systems has been extensively studied over the past decades. A variety of robust controllers based on the high gain domination approach and the back stepping technique have been developed for a wide class of inter-connected systems. Nevertheless, it is a challenging task to digitally implement these controllers in many practical applications such as networked control systems where sampled data with possible delay are available for feedback design. A fundamental difficulty lies in the fact that high robustness requires high control gains which are however constrained by sampling bandwidth. In this paper, a general framework based on input-to-state stability analysis is proposed to reveal the quantitative tradeoff between robustness and sampling bandwidth. In particular, two classes of sophisticated nonlinear systems of the output feedback and the lower triangular forms are investigated within the framework.
Biography:
Zhiyong Chen received the B.E. degree from the University of Science and Technology of China, and the M.Phil. and Ph.D. degrees from the Chinese University of Hong Kong, in 2000, 2002, and 2005 respectively. He worked as a Research Associate at the University of Virginia during 2005-2006. He is now a Senior Lecturer at the University of Newcastle, Australia. His research interests include nonlinear systems and control, biological systems, and multi-agent systems. He is an Associate Editor of IEEE Transactions on Automatic Control and an Associate Editor of Systems and Control Letters. He has published 11 IEEE Transactions on Automatic Control papers (4 regular), 5 other IEEE Transactions papers (3 regular), and 7 Automatica papers (1 regular). He has won the National Natural Scientific Award of China (2/4) in 2010.