Non-fragile control for interval type-2 TSK fuzzy logic control systems with time-delay

被引:10
作者
Sun, Xun [1 ]
Zhang, Huaguang [1 ]
Han, Jian [1 ]
Wang, Yingchun [1 ]
机构
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
来源
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2017年 / 354卷 / 18期
基金
中国国家自然科学基金;
关键词
GUARANTEED COST CONTROL; DEPENDENT STABILITY; DESIGN; STABILIZATION; CRITERIA;
D O I
10.1016/j.jfranklin.2017.08.025
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The study is concerned with non-fragile controller design for nonlinear systems with time-delay which are described by the interval type-2 Takagi-Sugeno-Kang fuzzy logic control system. Interval type-2 Takagi-Sugeno-Kang fuzzy logic control systems have been used in many applications and shown better outperforms in some cases than their type-1 counterparts. In this paper, a Lyapunov-Krasovskii functional is constructed through the Wirtinger-based integral inequality which is less conservative than the Jensen inequality, then sufficient conditions are obtained to stabilize the interval type-2 Takagi-Sugeno-Kang fuzzy logic control system with time-delay. Two types of controllers are designed, one is normal and the other is non-fragile. Non-fragile controllers make their implementation easier allowing to tune controller parameters automatically. The results are established in the form of linear matrix inequalities, which can be easily solved by MATLAB toolbox, then the controller gain matrices can be developed. Simulation examples in different cases are provided to demonstrate the effectiveness of the proposed method. (C) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
引用
收藏
页码:7997 / 8014
页数:18
相关论文
共 40 条
  • [1] [Anonymous], 2017, Uncertain Rule-Based Fuzzy Systems: Introduction and New Directions
  • [2] A LINEAR-PROGRAMMING ORIENTED PROCEDURE FOR QUADRATIC STABILIZATION OF UNCERTAIN SYSTEMS
    BERNUSSOU, J
    PERES, PLD
    GEROMEL, JC
    [J]. SYSTEMS & CONTROL LETTERS, 1989, 13 (01) : 65 - 72
  • [3] 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
  • [4] Dorato P, 1998, P AMER CONTR CONF, P2829, DOI 10.1109/ACC.1998.688371
  • [5] New results on stability of discrete-time systems with time-varying state delay
    Gao, Huijun
    Chen, Tongwen
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 52 (02) : 328 - 334
  • [6] GU K., 2003, CONTROL ENGN SER BIR
  • [7] Delay-dependent guaranteed cost control for T-S fuzzy systems with time delays
    Guan, XP
    Chen, CL
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2004, 12 (02) : 236 - 249
  • [8] Robust state/fault estimation and fault tolerant control for T-S fuzzy systems with sensor and actuator faults
    Han, Jian
    Zhang, Huaguang
    Wang, Yingchun
    Liu, Xiuhua
    [J]. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2016, 353 (02): : 615 - 641
  • [9] Further improvement of free-weighting matrices technique for systems with time-varying delay
    He, Yong
    Wang, Qing-Guo
    Xie, Lihua
    Lin, Chong
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2007, 52 (02) : 293 - 299
  • [10] Delay-range-dependent stability for systems with time-varying delay
    He, Yong
    Wang, Qing-Guo
    Lin, Chong
    Wu, Min
    [J]. AUTOMATICA, 2007, 43 (02) : 371 - 376