学术报告第201506期

     报告题目：Data-driven Nonlinear Control Design Using Robust Adaptive  Dynamic Programming

     报  告  人：Zhong-Ping  Jiang, New York University

     报告时间：3月26日周四下午14:00

     报告地点：南一楼中311室

     邀 请 方：“多谱信息处理技术”国家级重点实验室

         Abstract:

        Bellman's Dynamic Programming is a  powerful theory for addressing multi-stage decision making problems, and has  been used to solve the optimal control problem. However, its well-known  shortcoming is the so-called 'curse of dimensionality', and optimal controllers  designed rely on the solution of certain HJB equation, a PDE which is very hard,  if not impossible, to solve for general nonlinear systems. Approximate/adaptive  dynamic programming (ADP) has been introduced to overcome the curse of  dimensionality and recently utilized in optimal controller  design.

        In this talk, we present a data-driven,  non-model-based framework for optimal nonlinear control design using data  collected from the control plan in question. Specifically, we present a novel  methodology called 'robust adaptive dynamic programming' (robust-ADP), that aims  to generalize ADP theory to nonlinear systems with both parametric and dynamic  uncertainties. Linear and nonlinear controllers are designed with guaranteed  robust stability and optimality. Examples from computational neuroscience and  electric power systems are presented to illustrate the potentially wide  applicability of the robust-ADP theory.

         Speaker’s Short Bio:

        Zhong-Ping JIANG received the B.Sc.  degree in mathematics from the University of Wuhan, Wuhan, China, in 1988, the  M.Sc. degree in statistics from the University of Paris XI, France, in 1989, and  the Ph.D. degree in automatic control and mathematics from the Ecole des Mines  de Paris, France, in 1993.

        Currently, he is a Professor of  Electrical and Computer Engineering at the Polytechnic School of Engineering,  New York University. His main research interests include stability theory,  robust, adaptive and distributed nonlinear control, adaptive dynamic programming  and their applications to information, mechanical and biological systems. He is  coauthor of the books Stability and Stabilization of Nonlinear Systems (with Dr.  I. Karafyllis, Springer, 2011) and Nonlinear Control of Dynamic Networks (with  Drs. T. Liu and D.J. Hill, Taylor & Francis, 2014).

        Dr. Jiang is a Deputy  co-Editor-in-Chief of the Journal of Control and Decision, an Editor for the  International Journal of Robust and Nonlinear Control and has served as an  Associate Editor for several journals including Mathematics of Control, Signals  and Systems (MCSS), Systems & Control Letters, IEEE Transactions on  Automatic Control, European Journal of Control, and Science China: Information  Sciences. Dr. Jiang is a recipient of the prestigious Queen Elizabeth II  Fellowship Award from the Australian Research Council, the CAREER Award from the  U.S. National Science Foundation, and the Distinguished Overseas Chinese Scholar  Award from the NSF of China. Recent awards recognizing his research work include  the Best Theory Paper Award (with Y. Wang) at the 2008 WCICA, and the Guan Zhao  Zhi Best Paper Award (with T. Liu and D. Hill) at the 2011 CCC, and the  Shimemura Young Author Prize (with his student Yu Jiang) at the 2013 Asian  Control Conference in Istanbul, Turkey.Prof.  Jiang is a Fellow of the IEEE and a Fellow of the IFAC.