Stability Analysis and Control of Discrete Type-1 and Type-2 TSK Fuzzy Systems: Part I. Stability Analysis

被引:46
|
作者
Jafarzadeh, Saeed [1 ]
Fadali, M. Sami [1 ]
Sonbol, Assem H. [2 ]
机构
[1] Univ Nevada, Dept Elect & Biomed Engn, Reno, NV 89557 USA
[2] Power Generat Engn & Serv Co, Dept Elect Engn, Cairo 11835, Egypt
关键词
Stability; Takagi-Sugeno-Kang (TSK) systems; type-2 fuzzy systems; LYAPUNOV FUNCTION-APPROACH; LOGIC SYSTEMS; IDENTIFICATION; STABILIZATION;
D O I
10.1109/TFUZZ.2011.2158218
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper introduces sufficient conditions for the exponential stability of type-1 and type-2 Takagi-Sugeno-Kang (TSK) fuzzy systems. A major advantage of the new conditions is that they do not require the existence of a common Lyapunov function and are, therefore, applicable to systems with unstable consequents. In addition, our results include two classes of type-2 TSK systems with type-1 consequents for which no stability tests are available. The use of the conditions in stability testing is demonstrated using simple numerical examples that include cases where methods that are based on a common Lyapunov function fail. The application of the stability test to develop new controller design methodologies is presented in a separate paper (i.e., Part II).
引用
收藏
页码:989 / 1000
页数:12
相关论文
共 50 条
  • [1] Stability Analysis and Control of Discrete Type-1 and Type-2 TSK Fuzzy Systems: Part II. Control Design
    Jafarzadeh, Saeed
    Fadali, M. Sami
    Sonbol, Assem H.
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2011, 19 (06) : 1001 - 1013
  • [2] Stability Analysis of Discrete Type-2 TSK Fuzzy Systems with Interval Uncertainty
    Jafarzadeh, Saeed
    Fadali, M. Sami
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2010), 2010,
  • [3] TSK Observers for Discrete Type-1 and Type-2 Fuzzy Systems
    Fadali, M. Sami
    Jafarzadeh, Saeed
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2014, 22 (02) : 451 - 458
  • [4] Stability analysis of recurrent type-2 TSK fuzzy systems with nonlinear consequent part
    Tavoosi, Jafar
    Suratgar, Amir Abolfazl
    Menhaj, Mohammad Bagher
    [J]. NEURAL COMPUTING & APPLICATIONS, 2017, 28 (01): : 47 - 56
  • [5] Stability analysis of recurrent type-2 TSK fuzzy systems with nonlinear consequent part
    Jafar Tavoosi
    Amir Abolfazl Suratgar
    Mohammad Bagher Menhaj
    [J]. Neural Computing and Applications, 2017, 28 : 47 - 56
  • [6] Observer Design for Discrete Type-1 and Type-2 TSK Fuzzy Systems
    Fadali, M. Sami
    Jafarzadeh, Saeed
    [J]. 2012 AMERICAN CONTROL CONFERENCE (ACC), 2012, : 5616 - 5621
  • [7] On the Stability of Interval Type-2 TSK Fuzzy Logic Control Systems
    Biglarbegian, Mohammad
    Melek, William W.
    Mendel, Jerry M.
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2010, 40 (03): : 798 - 818
  • [8] Fuzzy Lyapunov stability analysis of discrete type II TSK systems
    Sonbol, A
    Fadali, MS
    [J]. 42ND IEEE CONFERENCE ON DECISION AND CONTROL, VOLS 1-6, PROCEEDINGS, 2003, : 5209 - 5214
  • [9] Stability Analysis of Type-2 Fuzzy Systems
    Begian, Mohammad Biglar
    Melek, William W.
    Mendel, Jerry M.
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS, VOLS 1-5, 2008, : 947 - +
  • [10] Instability Conditions for Type-1 and Type-2 TSK Fuzzy Systems
    Jafarzadeh, Saeed
    Fadali, M. Sami
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2016, : 1240 - 1247