文献类型：期刊文献

英文题名：Fuzzy-Model-Based Finite Frequency Fault Detection Filtering Design for Two-Dimensional Nonlinear Systems

作者：Wang, Meng[1];Yan, Huaicheng[1];Qiu, Jianbin[2];Ji, Wenqiang[3]

机构：[1]East China Univ Sci & Technol, Minist Educ, Sch Informat, Key Lab Smart Mfg Energy Chem Proc, Shanghai 200237, Peoples R China;[2]Harbin Inst Technol, Res Inst Intelligent Control & Syst, Sch Astronaut, Harbin 150080, Peoples R China;[3]Hebei Univ Technol, Sch Artificial Intelligence, Tianjin 300401, Peoples R China

年份：2024

卷号：11

期号：10

起止页码：2099

外文期刊名：IEEE-CAA JOURNAL OF AUTOMATICA SINICA

收录：;EI(收录号：20243717034773);WOS:【SCI-EXPANDED(收录号:WOS:001307416500014)】；

基金：This work was supported in part by the National Natural Science Foundation of China (62373152, 62333005, U21B6001, 62073143, 62273121), in part by the Natural Science Funds for Excellent Young Scholars of Hebei Province in 2022 (F2022202014), in part by Science and Technology Research Project of Colleges and Universities in Hebei Province (BJ2020017), and in part by the China Postdoctoral Science Foundation (2022M711639, 2023T160320).

语种：英文

外文关键词：Frequency synthesizers; Sensitivity; Fourier transforms; Filtering; Fault detection; Design methodology; Two-dimensional displays; Fault diagnosis; finite frequency specifications; mixed H-infinity/H- performance; two-dimensional nonlinear systems

摘要：This article studies the fault detection filtering design problem for Roesser type two-dimensional (2-D) nonlinear systems described by uncertain 2-D Takagi-Sugeno (T-S) fuzzy models. Firstly, fuzzy Lyapunov functions are constructed and the 2-D Fourier transform is exploited, based on which a finite frequency fault detection filtering design method is proposed such that a residual signal is generated with robustness to external disturbances and sensitivity to faults. It has been shown that the utilization of available frequency spectrum information of faults and disturbances makes the proposed filtering design method more general and less conservative compared with a conventional non-frequency based filtering design approach. Then, with the proposed evaluation function and its threshold, a novel mixed finite frequency H-infinity/H- fault detection algorithm is developed, based on which the fault can be immediately detected once the evaluation function exceeds the threshold. Finally, it is verified with simulation studies that the proposed method is effective and less conservative than conventional non-frequency and/or common Lyapunov function based filtering design methods.