报告时间：2026年7月18日 周六下午15:30
报告地点：2026美加墨世界杯官网四牌楼校区中心楼二楼教育部重点会议室201
组织单位：2026美加墨世界杯官网
邀 请 人：温广辉教授，2026美加墨世界杯官网
报告主题：Advanced Estimation Methods for a Class of Nonlinear System: Application to Vehicle Dynamic
报告人简介：
Mohammed Chadli (SM’09) received his MSc (DEA) from the Engineering School INSA-Lyon (France, 1999) and from “Ecole Normale Sup.” (Mohammedia, Morocco), the Ph.D. thesis in Automatic Control from the University of Lorraine (UL), CRAN-Nancy in 2002. He was Lecturer and Assistant Professor at the “Institut National Polytechnique de Lorraine” (UL, 2000-2004). Since 2004, he was Associate Professor at the UPJV and is currently a Full Professor at the University Paris-Saclay Evry, IBISC Lab., France. He was a visiting professorship at the TUO-Ostrava (Czech Rep.), UiA (Norway), SMU-Shanghai (2014-2017), NUAA-Nanjing (2018-…), Beijing Institute of technology and the University of Naples Federico II (Italy, 2019).
Dr. Chadli’s research interests include filtering and control problems (FDI, FTC) and applications to vehicle systems, intelligence systems, network systems, and cyber-physical systems. He is the author of books and book chapters (Wiley, Springer, Hermes), numerous articles published in international refereed journals and conference proceedings.
Dr. Chadli is a senior member of IEEE. He is on the editorial board (Editor, Associate Editor) of several international journals, including the IEEE Transactions on Fuzzy Systems, Automatica, the IET Control Theory and Applications, the Franklin Institute Journal, Asian Journal of Control … and was a Guest Editor for Special Issues in international journals and Vice Dean of the Faculty of Sciences and Technologies (Univ Evry). He now serves as the Chair of the IEEE France Section Control Systems Society Chapter, and listed in “100 000 Leading Scientists in the World” (Stanford/Elsevier's Top 2% Scientist Rankings since 2019).
报告摘要：
This Talk presents some results on estimation methods for a class of nonlinear systems, namely Takagi-Sugeno fuzzy systems. Observer design conditions are proposed based on LMI techniques, including T-S systems subject to unknown inputs. The problem of synthesizing fault detection filters is also addressed. Advanced estimation algorithms are applied to vehicle dynamics (driver assistance, etc.).
