Fault estimation filter design for discrete-time Takagi-Sugeno fuzzy systems

被引:10
|
作者
Ding, Da-Wei [1 ]
Du, Xin [2 ]
Xie, Xiangpeng [3 ]
Li, Mo [1 ]
机构
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
[2] Shanghai Univ, Sch Mechatron Engn & Automat, Shanghai 200072, Peoples R China
[3] Nanjing Univ Posts & Telecommun, Inst Adv Technol, Nanjing 210023, Jiangsu, Peoples R China
来源
IET CONTROL THEORY AND APPLICATIONS | 2016年 / 10卷 / 18期
基金
北京市自然科学基金;
关键词
FINITE FREQUENCY-DOMAIN; H-INFINITY CONTROL; NONLINEAR-SYSTEMS; STABILITY; STABILIZATION; OBSERVER;
D O I
10.1049/iet-cta.2016.0318
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This study is concerned with the fault estimation problem of discrete-time Takagi-Sugeno fuzzy systems with low-frequency faults. A fault estimation filter is designed to solve this problem. To make the estimation error as small as possible in the presence of high-frequency disturbances, the filter is designed to satisfy two finite-frequency H-infinity performance indices simultaneously. An algorithm is proposed to calculate the parameters of the desired filter. The obtained filter can estimate the faults in low-frequency domain effectively, e.g. stuck faults. For comparison, a full-frequency fault estimation method is also given. An example is given to illustrate advantages of the proposed finite-frequency method.
引用
收藏
页码:2456 / 2465
页数:10
相关论文
共 50 条
  • [21] Nonlinear Control Design Based on Generalized Discrete-Time Takagi-Sugeno Fuzzy Systems
    Yoneyama, Jun
    Uchida, Yuzu
    2013 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ - IEEE 2013), 2013,
  • [22] Discrete-time Takagi-Sugeno singular systems with unmeasurable decision variables: state and fault fuzzy observer design
    Aitdaraou, Khaoula
    Essabre, Mohamed
    El Assoudi, Abdellatif
    El Yaagoubi, El Hassane
    ARCHIVES OF CONTROL SCIENCES, 2023, 33 (02) : 321 - 338
  • [23] 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
  • [24] 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
  • [25] H-/L∞ Fault Detection Observer for Discrete-time Takagi-Sugeno Fuzzy Systems
    Zhou, Meng
    Rodrigues, Mickael
    Wang, Zhenhua
    Shen, Yi
    Theilliol, Didier
    2017 IEEE 56TH ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2017,
  • [26] 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
  • [27] Robust unknown input observer for state and fault estimation in discrete-time Takagi-Sugeno systems
    Rotondo, Damiano
    Witczak, Marcin
    Puig, Vicenc
    Nejjari, Fatiha
    Pazera, Marcin
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2016, 47 (14) : 3409 - 3424
  • [28] Zonotopic interval estimation for discrete-time Takagi-Sugeno fuzzy systems with a delayed nonquadratic framework
    Ren, Weijie
    Komada, Satoshi
    Yubai, Kazuhiro
    Guo, Shenghui
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2022, 359 (08): : 3883 - 3909
  • [29] Reachability Analysis-Based Interval Estimation for Discrete-Time Takagi-Sugeno Fuzzy Systems
    Guo, Shenghui
    Ren, Weijie
    Ahn, Choon Ki
    Wen, Chenglin
    Lam, Hak-Keung
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 30 (06) : 1981 - 1992
  • [30] State and Fault Observer Design for Discrete-time Takagi-Sugeno Descriptor Models
    Daraou, Khaoula Ait
    Soulami, Jalal
    El Assoudi, Abdellatif
    El Yaagoubi, El Hassane
    2019 THIRD INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING IN DATA SCIENCES (ICDS 2019), 2019,