Proportional Plus Derivative State Feedback Control of Takagi-Sugeno Fuzzy Singular Fractional Order Systems

被引：2
|
作者：
Zhang, Xuefeng [1 ]
Jin, Kaijing [1 ]
机构：
[1] Northeastern Univ, Coll Sci, Shenyang 110819, Liaoning, Peoples R China
来源：
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS | 2021年 / 19卷 / 11期
关键词：
Admissibility; fractional order systems; singular systems; Takagi-Sugeno fuzzy systems;
D O I：
10.1007/s12555-020-0556-9
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 paper investigates the fuzzy normalization and stabilization issues of a class of singular fractional order nonlinear systems with order 0 < alpha < 1 based on a singular Takagi-Sugeno fuzzy model. First, we present the admissibility theorem of Takagi-Sugeno fuzzy singular fractional order systems. Next, benefited by that the fuzzy model and the state feedback controllers do not share the same membership functions, a proportional plus derivative state feedback controller is designed, which guarantees the closed-loop system normalized and admissible. Finally, a numerical simulation example is given to illustrate the effectiveness of the proposed method.
引用
收藏
页码：3823 / 3829
页数：7
相关论文
共 50 条
  • [31] 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
  • [32] Design of output feedback controllers for Takagi-Sugeno fuzzy systems
    Yoneyama, J
    Nishikawa, M
    Katayama, H
    Ichikawa, A
    FUZZY SETS AND SYSTEMS, 2001, 121 (01) : 127 - 148
  • [33] Output feedback controller design of Takagi-Sugeno fuzzy systems
    Xiu, Z. -H.
    Wang, W.
    INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2007, 38 (02) : 167 - 178
  • [34] A separation principle for Takagi-Sugeno control fuzzy systems
    Taieb, N. Hadi
    Hammami, M. A.
    Delmotte, E.
    ARCHIVES OF CONTROL SCIENCES, 2019, 29 (02) : 227 - 245
  • [35] Takagi-Sugeno Fuzzy Control Method for Nonlinear Systems
    Serra, Ginalber L. O.
    Ferreira, Carlos Cesar T.
    IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN ROBOTICS AND AUTOMATION, 2009, : 492 - 496
  • [36] Analytical design of Takagi-Sugeno fuzzy control systems
    Ren, G
    Xiu, ZH
    ACC: Proceedings of the 2005 American Control Conference, Vols 1-7, 2005, : 1733 - 1738
  • [37] Decentralized state-feedback chaotification method of discrete Takagi-Sugeno fuzzy systems
    Lu, JG
    CHINESE PHYSICS, 2005, 14 (04): : 703 - 708
  • [38] Less conservative state feedback design conditions for switched Takagi-Sugeno fuzzy systems
    Faria, Flavio A.
    Elias, Leandro J.
    Araujo, Rayza
    Oliveira, Vilma A.
    2019 18TH EUROPEAN CONTROL CONFERENCE (ECC), 2019, : 3698 - 3703
  • [39] Approximation properties of higher order Takagi-Sugeno fuzzy systems
    Bede, Barnabas
    Rudas, Imre J.
    PROCEEDINGS OF THE 2013 JOINT IFSA WORLD CONGRESS AND NAFIPS ANNUAL MEETING (IFSA/NAFIPS), 2013, : 368 - 373
  • [40] Stability of Takagi-Sugeno fuzzy systems
    Ustoglu, Ilker
    ICINCO 2006: Proceedings of the Third International Conference on Informatics in Control, Automation and Robotics: INTELLIGENT CONTROL SYSTEMS AND OPTIMIZATION, 2006, : 213 - 216
12345