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Fuzzy-Model-Based Finite Frequency Fault Detection Filtering Design for Two-Dimensional Nonlinear Systems    

文献类型:期刊文献

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

作者:Meng Wang[1];Huaicheng Yan[1];Jianbin Qiu[2,4];Wenqiang Ji[3]

机构:[1]Key Laboratory of Smart Manufacturing in Energy Chemical Process,Ministry of Education,School of Information Science and Engineering,East China University of Science and Technology,Shanghai 200237,China;[2]Research Institute of Intelligent Control and Systems,School of Astronautics,Harbin Institute of Technology,Harbin 150080,China;[3]School of Artificial Intelligence,Hebei University of Technology,Tianjin 300401,China;[4]IEEE

年份:2024

卷号:11

期号:10

起止页码:2099

中文期刊名:IEEE/CAA Journal of Automatica Sinica

外文期刊名:自动化学报(英文版)

收录:CSTPCD;;Scopus;CSCD:【CSCD2023_2024】;

基金: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);in part by the China Postdoctoral Science Foundation(2022M711639,2023T160320).

语种:英文

中文关键词:Fault diagnosis;finite frequency specifications;mixed H_(∞)/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 nonfrequency based filtering design approach.Then,with the proposed evaluation function and its threshold,a novel mixed finite frequency H_(∞)/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.

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