报告题目：Predefined-Time Stabilization of Full-Scale 4D Permanent-Magnet Synchronous Motor System with Incompletely Measured States

报告人：Michael Basin院士

报告时间：2023年9月18日上午10：00-11:00

报告地点：腾讯会议534-318-248

报告对象：感兴趣的教师、研究生等

主办单位：beat365

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 7500 times (h-index = 47). Dr. Basin has supervised 17 doctoral and 10 master's theses. He has served as the Editor-in-Chief and serves as the Co-Editor-in-Chief of Journal of The Franklin Institute, the Senior Editor of IEEE/ASME Transactions on Mechatronics, an Associate Editor of Automatica, IEEE Transactions on Systems, Man and Cybernetics: Systems, 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 predefined-time convergent continuous controller designed to stabilize a full-scale 4D model of the permanent-magnet synchronous motor system with incompletely measured states, using a linear time-varying control input. Three cases have been considered: disturbance-free, in presence of a deterministic disturbance satisfying a Lipschitz condition, and in presence of both a stochastic white noise and a deterministic disturbance satisfying a Lipschitz condition. A predefined-time convergent observer is designed to reconstruct unmeasurable system states and provide the controller feedback. Numerical simulations are conducted for a full-scale 4D permanent-magnet synchronous motor system to validate the obtained theoretical results in each of the three considered cases. 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. To the best of the authors’ knowledge, this is the first attempt to design a predefined-time convergent continuous controller for multi-dimensional systems with incompletely measurable states, using a linear time-varying control input.

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