报告题目：Predefined-Time Convergent Continuous Linear and Nonlinear Time-Varying Controllers: Design and Applications

报告人：Michael Basin院士

报告时间：2024年12月17日 下午14：00

报告地点：腾讯会议：335-159-490

报告对象：感兴趣的教师、研究生等

主办单位：电力电子与运动控制安徽省高等学校省级重点实验室、电气与信息工程学院

报告人简介：

Michael V. Basin (SM’07, M’95) received his Ph.D. degree in Physical and Mathematical Sciences with major in Automatic Control and System Analysis from the Moscow Aviation University (MAI) in 1992. He is currently Full Professor with the Autonomous University of Nuevo Leon, Mexico, and the Ningbo University of Technology, China. Starting from 1992, Dr. Basin published more than 400 research papers in international referred journals and conference proceedings. He is the author of the monograph “New Trends in Optimal Filtering and Control for Polynomial and Time-Delay Systems,” published by Springer.  His works are cited more than 8000 times (h-index = 50).  Dr. Basin has supervised 17 doctoral and 10 master's theses. He has served as the Editor-/Co-Editor-in-Chief of Journal of The Franklin Institute, the Senior Editor of IEEE/ASME Transactions on Mechatronics and IEEE Transactions on Systems, Man and Cybernetics: Systems, an Associate Editor of Automatica, IET-Control Theory and Applications, International Journal of Systems Science, Neural Networks. Dr. Basin was awarded a title of Highly Cited Researcher by Thomson Reuters, the publisher of Science Citation Index, in 2009, and listed in “100 000 Leading Scientists in the World”; he is a regular member of the Mexican Academy of Sciences and a recipient of the Kimura Best Paper Award from Asian Control Association. Prof. Basin has been honored as a Fellow of Prominent Talent (Qian Ren) Program of Zhejiang Province, China. His research interests include optimal filtering and control problems, stochastic systems, time-delay systems, identification, sliding mode control and variable structure systems, applications to mechatronic and transportation systems.

报告内容：

This talk presents a family of predefined-time convergent continuous controllers designed to stabilize a state of a scalar permanent-magnet synchronous motor system affected by deterministic disturbances and/or stochastic noises. Three cases have been considered: disturbance-free, in presence of a rate-bounded deterministic disturbance satisfying a Lipschitz condition, and in presence of both a stochastic white noise and a rate-bounded deterministic disturbance satisfying a Lipschitz condition. Numerical simulations are conducted for a scalar permanent-magnet synchronous motor system to validate the obtained theoretical results in each of the three considered cases. The comparisons between linear (p=1) and nonlinear (p>1) time-varying controllers are provided resulting in a low-cost control input. The simulation results demonstrate that the employed values of the predefined-time convergent control inputs are applicable in practice and verify the algorithm efficiency in each considered case.  

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