Stability and L1-Gain Analysis for Positive Takagi-Sugeno Fuzzy Systems With Impulse

被引:24
|
作者
Zhu, Baolong [1 ]
Suo, Mingliang [2 ]
Chen, Liangming [1 ]
Li, Shunli [1 ]
机构
[1] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Heilongjiang, Peoples R China
[2] Beihang Univ, Sch Reliabil & Syst Engn, Beijing 100191, Peoples R China
关键词
Dwell-time constraint; impulse interval partitioning; impulsive systems; L-1; gain; positive nonlinear systems; stability; HYBRID LINEAR-SYSTEMS; OUTPUT-FEEDBACK STABILIZATION; SAMPLED-DATA SYSTEMS; H-INFINITY CONTROL; ROBUST STABILITY; EXPONENTIAL STABILITY; NONLINEAR-SYSTEMS; DYNAMIC FEEDBACK; DELAY SYSTEMS; OBSERVERS;
D O I
10.1109/TFUZZ.2018.2866968
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 is concerned with the stability analysis and L-1-gain characterization for positive Takagi-Sugeno fuzzy systems subject to impulse effects. The main tool utilized is the construction of an impulse-time-dependent discretized copositive Lyapunov function where the impulse interval partitioning idea is exploited to derive less conservative results. For the disturbance-free case, stability criteria are developed to guarantee global exponential stability of the concerned systems under ranged and constant dwell-time constraints. The analysis of the influence of the discretizing parameter on the reduction of conservativeness is performed. We further employ the proposed impulse-time-dependent discretized copositive Lyapunov function to analyze the L-1-gain performance for the case where external disturbances are considered. By performing a grid search for a scalar in an interval, all the proposed criteria can be checked via linear programming. Finally, numerical simulations are discussed to illustrate the effectiveness of the theoretical results.
引用
收藏
页码:3893 / 3901
页数:9
相关论文
共 50 条
  • [41] Stability Approaches For Takagi-Sugeno Systems
    Abdelkrim, Rihab
    Gassara, Hamdi
    Chaabane, Mohamed
    El Hajjaji, Ahmed
    2015 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE 2015), 2015,
  • [42] The stability analysis of abstract Takagi-Sugeno fuzzy impulsive system
    Slyn'ko, V. I.
    Denysenko, V. S.
    FUZZY SETS AND SYSTEMS, 2014, 254 : 67 - 82
  • [43] Variable gain Takagi-Sugeno Fuzzy logic controllers
    Rajesh, Reghunadhan
    Kaimal, M. Ramachandra
    INFORMATICA, 2006, 17 (03) : 427 - 444
  • [44] Conditions of Stabilization of Positive Continuous Takagi-Sugeno Fuzzy Systems with Delay
    Benzaouia, Abdellah
    El Hajjaji, Ahmed
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2018, 20 (03) : 750 - 758
  • [45] Conditions of stabilization of positive continuous Takagi-Sugeno fuzzy systems with delay
    Benzaouia, Abdellah
    El Hajjaji, Ahmed
    2016 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS (FUZZ-IEEE), 2016, : 1147 - 1153
  • [46] Output stabilization of Takagi-Sugeno fuzzy systems
    Yoneyama, J
    Nishikawa, M
    Katayama, H
    Ichikawa, A
    FUZZY SETS AND SYSTEMS, 2000, 111 (02) : 253 - 266
  • [47] Stability analysis of Takagi-Sugeno fuzzy systems with linear state-space submodels
    Dvoráková, R
    Husek, P
    CONTROL APPLICATIONS OF OPTIMIZATION 2000, VOLS 1 AND 2, 2000, : 85 - 90
  • [48] H∞ control for Takagi-Sugeno fuzzy systems
    Yoneyama, Jun
    Nishikawa, Masahiro
    Katayama, Hitoshi
    Ichikawa, Akira
    International Journal of Systems Science, 2002, 32 (07) : 915 - 924
  • [49] On the stability of Takagi-Sugeno fuzzy systems with time-varying uncertainties
    Pang, Chin-Tzong
    Lur, Yung-Yih
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2008, 16 (01) : 162 - 170
  • [50] On delay-dependent stability conditions for Takagi-Sugeno fuzzy systems
    Souza, Fernando O.
    Campos, Victor C. S.
    Palhares, Reinaldo M.
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2014, 351 (07): : 3707 - 3718