T-S fuzzy model-based impulsive control for chaotic systems and its application

被引：15
|
作者：
Liu, Yang [1 ]
Zhao, Shouwei [2 ]
机构：
[1] Zhejiang Normal Univ, Coll Math Phys & Informat Engn, Jinhua 321004, Peoples R China
[2] Shanghai Univ Engn Sci, Coll Fundamental Studies, Shanghai 201620, Peoples R China
来源：
MATHEMATICS AND COMPUTERS IN SIMULATION | 2011年 / 81卷 / 11期
关键词：
Takagi-Sugeno model; Impulsive control; Chaotic systems; Lorenz system; SYNCHRONIZATION; STABILITY;
D O I：
10.1016/j.matcom.2011.02.012
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This paper provides the impulsive control for chaotic systems based on Takagi-Sugeno (T-S) model. A less conservative impulsive control scheme for chaotic systems based on their T-S fuzzy model is presented. Then the proposed impulsive control scheme is successfully applied to stabilize Lorenz system and the numerical simulation illustrates the effectiveness of our results. (C) 2011 IMACS. Published by Elsevier B.V. All rights reserved.
引用
收藏
页码：2507 / 2516
页数：10
相关论文
共 50 条
  • [31] Maximum Power Control of PV Systems via a T-S Fuzzy Model-based Approach
    Chiu, Chian-Song
    Ouyang, Ya-Lun
    Chiang, Teng-Shung
    Liu, Peter
    ICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 4, 2010, : 468 - +
  • [32] Fuzzy Steering Control for T-S Fuzzy Model-Based Multiple Ship Systems Subject to Formation and Containment
    Lin, Yann-Horng
    Chang, Wen-Jer
    Pen, Chin-Lin
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2023, 25 (05) : 1782 - 1794
  • [33] Fuzzy Steering Control for T-S Fuzzy Model-Based Multiple Ship Systems Subject to Formation and Containment
    Yann-Horng Lin
    Wen-Jer Chang
    Chin-Lin Pen
    International Journal of Fuzzy Systems, 2023, 25 : 1782 - 1794
  • [34] Stabilization of Chaotic Systems With T-S Fuzzy Model and Nonuniform Sampling: A Switched Fuzzy Control Approach
    Wang, Xin
    Park, Ju H.
    She, Kun
    Zhong, Shouming
    Shi, Lin
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2019, 27 (06) : 1263 - 1271
  • [35] A Dynamic Decoupling Approach to Robust T-S Fuzzy Model-Based Control
    Chiu, Chian-Song
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2014, 22 (05) : 1088 - 1100
  • [36] Type-II T-S Fuzzy Model-based Predictive Control
    Liao, Qianfang
    Li, Ning
    Li, Shaoyuan
    PROCEEDINGS OF THE 48TH IEEE CONFERENCE ON DECISION AND CONTROL, 2009 HELD JOINTLY WITH THE 2009 28TH CHINESE CONTROL CONFERENCE (CDC/CCC 2009), 2009, : 4193 - 4198
  • [37] Multiobjective maximum power tracking control of photovoltaic systems: T-S fuzzy model-based approach
    M. Allouche
    K. Dahech
    M. Chaabane
    Soft Computing, 2018, 22 : 2121 - 2132
  • [38] Guaranteed Cost Impulsive Control of Nonlinear Positive Systems Via T-S Fuzzy Model
    Zhu, Baolong
    Wang, Haixia
    Zhang, Jie
    Zhao, Peng
    INTERNATIONAL JOURNAL OF FUZZY SYSTEMS, 2022, 24 (03) : 1467 - 1477
  • [39] A T-S Fuzzy Model-Based Adaptive Exponential Synchronization Method for Uncertain Delayed Chaotic Systems: An LMI Approach
    ChoonKi Ahn
    Journal of Inequalities and Applications, 2010
  • [40] Multiobjective maximum power tracking control of photovoltaic systems: T-S fuzzy model-based approach
    Allouche, M.
    Dahech, K.
    Chaabane, M.
    SOFT COMPUTING, 2018, 22 (07) : 2121 - 2132
12345