Reliable mixed H∞/passive control for T-S fuzzy delayed systems based on a semi-Markov jump model approach

被引:123
|
作者
Shen, Hao [1 ]
Su, Lei [1 ]
Park, Ju H. [2 ]
机构
[1] Anhui Univ Technol, Sch Elect & Informat Engn, Maanshan 243002, Peoples R China
[2] Yeungnam Univ, Dept Elect Engn, 280 Daehak Ro, Kyongsan 38541, South Korea
基金
新加坡国家研究基金会; 中国国家自然科学基金;
关键词
T-S fuzzy systems; Semi-Markov jump model; Reliable mixed H-infinity/passive control; Time delays; NETWORKED CONTROL-SYSTEMS; ROBUST STABILIZATION; FAULT-DETECTION; DISSIPATIVE CONTROL; PASSIVITY ANALYSIS; TOLERANT CONTROL; NEURAL-NETWORKS; CONTROL DESIGN; DISCRETE; PERFORMANCE;
D O I
10.1016/j.fss.2016.09.007
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
This paper investigates the problem of the reliable mixed H-infinity/passive control for Takagi Sugeno (T S) fuzzy delayed systems based on a semi-Markov jump model (SMJM) approach. The focus is to design a fuzzy fault-tolerant controller such that the resulting closed-loop system is stochastically stable with a prescribed mixed H-infinity/passive performance level even if the actuator failures appear. A semi-Markov process is employed to describe the encountered failures of the actuator. By applying the Lyapunov-Krasovskii method, in combination with some novel inequalities, some conditions on the performance analysis are established, where some negative quadratic terms are fully considered to reduce the conservatism. Based on the conditions, an explicit expression for the desired controller is given. Three numerical examples are presented to show the effectiveness and reduced conservatism of the proposed method. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:79 / 98
页数:20
相关论文
共 50 条
  • [41] Almost sure exponential stability of stochastic nonlinear semi-Markov jump T-S fuzzy systems under intermittent EDF scheduling controller
    Zhu, Dalin
    Zhu, Quanxin
    JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2024, 361 (17):
  • [42] Dissipative Control for Singular T-S Fuzzy Markov Jump Systems Under Quantized Feedback
    Fu, Lei
    Ma, Yuechao
    Guan, Wei
    IEEE ACCESS, 2019, 7 : 70933 - 70943
  • [43] Fuzzy H∞ Control of Semi-Markov Jump Singularly Perturbed Nonlinear Systems With Partial Information and Actuator Saturation
    Wang, Jing
    Chen, Zongjie
    Shen, Hao
    Cao, Jinde
    Rutkowski, Leszek
    IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2023, 31 (12) : 4374 - 4384
  • [44] Event-triggered extended dissipativity control for semi-Markov jump systems under multiple types of deception attacks: A semi-Markov model approach
    Wang, Qian
    Zhang, Xiaojun
    Zhong, Shouming
    Cheng, Jun
    Shi, Kaibo
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2024, 34 (14) : 9965 - 9983
  • [45] Robust passive control for T-S fuzzy systems
    Li, Yanjiang
    Fu, Yanming
    Duan, Guangren
    COMPUTATIONAL INTELLIGENCE, PT 2, PROCEEDINGS, 2006, 4114 : 146 - 151
  • [46] Dynamic event-based finite-time mixed H∞ and passive asynchronous filtering for T-S fuzzy singular Markov jump systems with general transition rates
    Wang, Yanqian
    Zhuang, Guangming
    Chen, Xia
    Wang, Zhen
    Chen, Fu
    NONLINEAR ANALYSIS-HYBRID SYSTEMS, 2020, 36
  • [47] H∞ Filtering for Discrete Markov Jump Singular Systems with Mode-Dependent Time Delay Based on T-S Fuzzy Model
    Gong, Cheng
    Zeng, Yi
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [48] Resilient estimation for T-S fuzzy descriptor systems with semi-Markov jumps and time-varying delay
    Wang, Jimin
    Ma, Shuping
    Zhang, Chenghui
    INFORMATION SCIENCES, 2018, 430 : 104 - 126
  • [49] Dissipative Asynchronous T-S Fuzzy Control For Singular Semi-Markovian Jump Systems
    Ma, Yuechao
    Kong, Chuifeng
    IEEE TRANSACTIONS ON CYBERNETICS, 2022, 52 (06) : 5454 - 5463
  • [50] Protocol-Based Control for Semi-Markov Jump Systems With Dynamic Quantization
    Xu, Jiangming
    Cheng, Jun
    Yan, Huaicheng
    Park, Ju H.
    Qi, Wenhai
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2022, 69 (11) : 4428 - 4432