H-/L∞ Fault Detection Observer for Discrete-time Takagi-Sugeno Fuzzy Systems

被引:0
|
作者
Zhou, Meng [1 ,2 ]
Rodrigues, Mickael [2 ]
Wang, Zhenhua [1 ]
Shen, Yi [1 ]
Theilliol, Didier [3 ]
机构
[1] Harbin Inst Technol, Dept Control Sci & Engn, Harbin 150001, Heilongjiang, Peoples R China
[2] Univ Lyon, Lab Automat & Genie Procedes, F-69003 Lyon, France
[3] Univ Lorraine, CNRS, Ctr Rech Automat Nancy, UMR 7039, F-54506 Vandoeuvre Les Nancy, France
基金
中国国家自然科学基金;
关键词
NONLINEAR-SYSTEMS; FILTER DESIGN;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, an H-/L-infinity fault detection observer is proposed for discrete-time Takagi-Sugeno (T-S) fuzzy systems. The main contribution of this paper lies as, first, the finite frequency H- index is used to measure the worst-case fault sensitivity. Second, unlike the common H-/H-infinity fault detection observer, this paper uses L-infinity norm to measure the worst effect of disturbance on residual instead of H-infinity norm. Besides, a residual evaluation is synthesized based on the L-infinity norm to achieve an efficient fault detection despite of the disturbance occurrence. Besides, sufficient conditions of the observer design are derived based on piecewise Lyapunov functions. The effectiveness of the proposed method is demonstrated by numerical simulations.
引用
收藏
页数:6
相关论文
共 50 条
  • [21] H-/H∞ sensor fault detection observer design for nonlinear systems in Takagi-Sugeno's form
    Jee, Sung Chul
    Lee, Ho Jae
    Joo, Young Hoon
    NONLINEAR DYNAMICS, 2012, 67 (04) : 2343 - 2351
  • [22] Joint Observer Based Fault Tolerant Control for Discrete-Time Takagi-Sugeno Fuzzy Systems With Immeasurable Premise Variables
    Liu, Xiaoxu
    Li, Risheng
    Gao, Zhiwei
    Zhang, Wenwei
    Zhang, Aihua
    Li, Bowen
    Zhang, Tan
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2025, 72 (04) : 4248 - 4259
  • [23] H2 and H∞ fuzzy filters with memory for Takagi-Sugeno discrete-time systems
    Frezzatto, Luciano
    Lacerda, Marcio J.
    Oliveira, Ricardo C. L. F.
    Peres, Pedro L. D.
    FUZZY SETS AND SYSTEMS, 2019, 371 : 78 - 95
  • [24] Fault detection asynchronous filter design for discrete-time Takagi-Sugeno fuzzy systems under cyber attacks
    Sakthivel, Ramalingam
    Kavikumar, Ramasamy
    Kwon, Oh-Min
    2022 22ND INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2022), 2022, : 1366 - 1371
  • [25] Adaptive prediction and control of discrete-time Takagi-Sugeno fuzzy systems
    Qi, Ruiyun
    Tao, Gang
    Tan, Chang
    Yao, Xuelian
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2012, 26 (07) : 560 - 575
  • [26] The optimal fuzzy robust regulator for Takagi-Sugeno discrete-time systems
    Meda-Campaña, JA
    Castillo-Toledo, B
    Titli, A
    PROCEEDINGS OF THE 2003 IEEE INTERNATIONAL SYMPOSIUM ON INTELLIGENT CONTROL, 2003, : 235 - 240
  • [27] Output Feedback Control for Discrete-Time Takagi-Sugeno Fuzzy Systems
    Ueno, Nao
    Uchida, Yuzu
    Yoneyama, Jun
    IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ 2011), 2011, : 315 - 321
  • [28] Improved Control Design of Discrete-Time Takagi-Sugeno Fuzzy Systems
    Yoneyama, Jun
    2019 12TH ASIAN CONTROL CONFERENCE (ASCC), 2019, : 1589 - 1594
  • [29] H∞ constrained fuzzy control via state observer feedback for discrete-time Takagi-Sugeno fuzzy systems with multiplicative noises
    Chang, Wen-Jer
    Wu, Wen-Yuan
    Ku, Cheung-Chieh
    ISA TRANSACTIONS, 2011, 50 (01) : 37 - 43
  • [30] Fault Estimation Based on the Observer Design for Discrete-time Takagi-Sugeno Descriptor Models
    Ouarid, Kaoutar
    El Assoudi, Abdellatif
    Soulami, Jalal
    El Yaagoubi, El Hassane
    2019 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS 2019), 2019,