T-S Fuzzy Design for Nonlinear State-Delayed Descriptor System Via Sliding Mode Control

被引:0
|
作者
Han Chunsong [1 ]
Zhang Guojiang
Zeng Qingshuang [1 ]
Wu Ligang [1 ]
机构
[1] Harbin Inst Technol, Space Control & Inertial Technol Res Ctr, Harbin 150001, Peoples R China
来源
2011 30TH CHINESE CONTROL CONFERENCE (CCC) | 2011年
关键词
T-S fuzzy model; Descriptor system; Sliding mode control; Time-delay; H-INFINITY CONTROL; TIME-VARYING DELAY; STABILITY ANALYSIS; DEPENDENT STABILITY; LINEAR-SYSTEMS; STABILIZATION;
D O I
暂无
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 is concerned with the problem of sliding mode control (SMC) of a class of Takagi-Sugeno (T-S) fuzzy descriptor system with time-delay. An integral-type sliding surface function is designed by taking the descriptor matrix into account, thus the resulting sliding mode dynamics is a full-order uncertain T-S fuzzy descriptor time-delay system. By use of the delay partitioning technique, a delay-dependent criterion is established, which ensures the sliding mode dynamics to be regular, impulse-free and stable. Moreover, a SMC law is synthesized to guarantee the stability of the closed-loop system, and the proposed SMC law can drive the dynamics of controlled system into a designated sliding surface in a finite time. Finally, a numerical example is provided to illustrate the effectiveness of the proposed theories.
引用
收藏
页码:2560 / 2565
页数:6
相关论文
共 50 条
  • [31] Adaptive sliding mode controller design based on T-S fuzzy system models
    Cheng, CC
    Chien, SH
    AUTOMATICA, 2006, 42 (06) : 1005 - 1010
  • [32] A new T-S fuzzy sliding mode control and its simulation for BTT control system
    Hou, Hong-Qing
    Liu, Gang
    Miao, Qian
    Wang, Ming-Hao
    Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications, 2012, 35 (01): : 1 - 4
  • [33] Adaptive neural networks-based integral sliding mode control for T-S fuzzy model of delayed nonlinear systems
    Shanmugam, Lakshmanan
    Joo, Young Hoon
    APPLIED MATHEMATICS AND COMPUTATION, 2023, 450
  • [34] Observer-based adaptive sliding mode control for nonlinear uncertain state-delayed systems
    Ming-Chang Pai
    International Journal of Control, Automation and Systems, 2009, 7 : 536 - 544
  • [35] Extended Dissipative Sliding Mode Control for T-S Fuzzy Polynomial Singular System
    Liu, Jiarui
    Li, Jiangrong
    Zhu, Jiming
    2024 3RD CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, FASTA 2024, 2024, : 517 - 522
  • [36] Sliding Mode Control Algorithm Based on T-S Fuzzy Model for a Class of Nonlinear Systems
    Yan, Ming
    Yi, Jinhui
    Liu, Yang
    Wei, JunXiu
    Huang, Xiaoling
    2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS ( ICAL 2009), VOLS 1-3, 2009, : 664 - +
  • [37] Sliding Mode Control for Uncertain T-S Fuzzy Singular Biological Economic System
    Zhang, Yi
    Shi, Zhaohui
    IEEE ACCESS, 2019, 7 : 14387 - 14395
  • [38] Observer-Based Adaptive Sliding Mode Control for Nonlinear Uncertain State-Delayed Systems
    Pai, Ming-Chang
    INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2009, 7 (04) : 536 - 544
  • [39] Sliding mode H∞ control design for uncertain nonlinear stochastic state-delayed Markovian jump systems with actuator failures
    Huang, Ran
    Lin, Yan
    Lin, Zhongwei
    NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2011, 5 (04) : 692 - 703
  • [40] Sliding Mode Control for Delayed T-S Fuzzy Neural Network with Norm-Bounded Uncertainties
    Chen, Jie
    Mo, Wei
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MECHANICAL ENGINEERING AND CONTROL SYSTEMS (MECS2015), 2016, : 302 - 307