报告主题：Multi-objective H₂ and H_∞ Filtering and Control--A New Paradigm

报 告 人：陈翔教授

报告时间：12月20日（周日），上午9:30-10:15

报告地点：信息楼D533会议室（学术报告厅）

链接：https://zoom.com.cn/j/9321600184?pwd=bkk4b3prTmp6K1JnblhJS3VMa091Zz09

会议号：932 160 0184

密码：6666

报告内容：

A new design paradigm is discussed in this talk which allows multi-objective filtering and control designs to achieve complement H₂ and H_∞ performance with little trade-off. In particular, a revisit of Youla-Kucera parameterization of all stabilizing controllers and the traditional mixed H₂/ H_∞ filtering and control are first presented. Then the new design paradigm is introduced in comparison with the traditional structure. It is shown that the new paradigm is not only able to automatically render the H2 control performance if there is no modeling mismatch for the plant, but also provide recovery, instead of compromise, of the optimal performance when the modeling error is present, noting that the compromise is normally seen in traditional mixed designs. It is also noted that the recovery of the robust performance is regulated by the ‘measured error size’ of the modeling mismatch, hence, resulting in less conservativeness of the control performance. An inverted pendulum example is presented to validate the design expectations of the new control paradigm.

报告人简介：

Xiang Chen received M. Sc. and Ph. D. degree in system and control from Louisiana State University in 1996 and 1998. He held cross-appointed positions in Department of Electrical and Computer Engineering and Department of Mechanical, Automotive and Materials Engineering at the University of Windsor, Canada, and is currently a Professor in the Department of Electrical and Computer Engineering. He has made fundamental contribution to H_∞ Gaussain filtering and control, control of nonlinear systems with bifurcation, networked control system, and optimization of field sensing network. He has also made significant contribution to industrial applications of control and optimization in automotive systems and in visual sensing systems for manufacturing through extensive collaborative research and development activities with automotive, robotics, and manufacturing industries. Some of the deliverables have been patented by relevant companies or transferred to technological products of relevant companies. He is currently a Senior Editor for the IEEE/ASME Transactions on Mechatronics, an Associate Editor for SIAM Journal on Control and Optimization, and Associate Editors for International Journal of Intelligent Robotics and Applications, Control Theory and Technology (English Version), and Unman Systems. He received the Award of Best Paper Finalist from 2017 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2017), the Award of Best Student Paper Finalist (as the supervisor author) from 2015 ASME DSCC, the New Opportunity Awards from the Canadian Foundation of Innovation (CFI) and from the Ontario Centre of Excellence-- Materials and Manufacturing Ontario, as well as 4 times Research Awards from the University of Windsor. His research has been well supported by government agencies at both federal and provincial levels in Canada and from industrial companies in both Canada and USA. His current research interests include multi-objective complementary optimization and control of systems with complexities, optimization and control of field sensing network and field sensor based autonomous operations, graph-/game-theoretic approaches for complex networked systems, as well as control applications to automotive systems and autonomous vehicles. He is a registered Professional Engineer in Ontario, Canada.