Discretization of Control Systems
发布人: 贾挚   发布时间: 2017-10-18   浏览次数: 44

主讲人:Prof. Alexander Fradkov

主持人:李韬教授

开始时间:2017-11-1 10:30-11:30

讲座地址:闵行数学楼102报告厅

报告人简介:

Alexander L. Fradkov is the Head of the Control of Complex Systems Lab of the Institute for Problems in Mechanical Engineering of Russian Academy of Sciences.  He is also Professor and Chair of the Department of Theoretical Cybernetics (founded by Vladimir Yakubovich) at Saint Petersburg State University and Professor and Chair of the Department Control of Complex Systems at ITMO University in Saint Petersburg. He received Diploma degree in mathematics from Leningrad (currently St. Petersburg) State University in 1971 under supervision of V. A. Yakubovich; Candidate of Sciences (Ph.D.) degree in Technical Cybernetics in 1975 from Leningrad Mechanical Institute; Doctor of Sciences (Habilitation) degree in Control Engineering in 1986 from Leningrad Electrotechnical University.

He is coauthor of more than 600 journal and conference papers, 17 books and textbooks and a holder of ten patents.  His research interests include nonlinear and adaptive control, control of oscillatory and chaotic systems, dynamics and control of complex physical systems and networks.  In his book Cybernetical Physics (Nauka, 2003; Springer-Verlag, 2007) an emerging boundary field between physics and control is pioneered. Among his achievements of the 1970s are passification and speed-gradient methods as well as an approach to analysis and design of discrete stochastic systems based on their approximation by continuous deterministic model (the latter was developed independently also by L. Ljung and H. Kushner under the name 'ODE approach')

  He has been an IEEE Fellow since 2004, IFAC Fellow since 2017, founder of the International Physics and Control Society (IPACS) and IPACS President in 2005-2013, member of European Control Association (EUCA) since 2014, a member of the Russian National Committee of Automatic Control since 1998. He was a member of the IEEE Control Systems Society Conference Editorial Board (1998–2016), Chair of the IFAC TC on Adaptive and Learning Systems during 2008-2011 and 2011-2014. He is an Editorial Board member of a few international journals and the Editor-In-Chief of the international  journal Cybernetics and Physics launched in 2012.

报告内容简介:

  In recent years, the world literature has shown considerable interest in a new approach to analysis of sampled-data and networked systems based on the transformation of a discrete-continuous description of the system to the form of a continuous system with variable (sawtooth) delay  - so called time-delay approach. The idea itself is not new. However, in combination with the the generalized Lyapunov-Krasovskii functional and the so-called descriptor method for delayed systems analysis proposed by Emilia Fridman, the idea acquired an effective computational component based on numerical procedures for solving linear matrix inequalities (LMI) and turned into a powerful computation method reducing the conservatism of estimates significantly. This approach has got a great popularity in recent years, and the relevant works of E. Fridman have become highly cited. 
  In this talk an overview of the area will be given. We discuss Fridman's estimates for the sampling interval (discretization step) of systems. Some extensions of the time-delay method to networked systems, oscillatory systems, to the so-called Lurie systems and input-delay systems will be presented.