Reliable mixed H∞/passive control for T-S fuzzy semi-Markovian jump systems under different event-triggered schemes

被引:9
作者
Xu, Yihao [1 ]
Wang, Yanqian [1 ]
Zhuang, Guangming [2 ]
Lu, Junwei [3 ]
机构
[1] Qingdao Univ Technol, Sch Informat & Control Engn, Qingdao 266520, Shandong, Peoples R China
[2] Liaocheng Univ, Sch Math Sci, Liaocheng 252059, Shandong, Peoples R China
[3] Nanjing Normal Univ, Sch Elect & Automat Engn, 78 Bancang St, Nanjing 210042, Jiangsu, Peoples R China
基金
中国国家自然科学基金;
关键词
control system synthesis; closed loop systems; Lyapunov methods; delay systems; stability; linear matrix inequalities; fuzzy control; stochastic systems; fault tolerant control; fuzzy systems; actuator failures; different event-triggered schemes; system modes; controller modes; delay system method; controller gain matrices; event-triggered matrices; reliable mixed $H; T-S fuzzy semiMarkovian jump systems; asynchronous fuzzy fault-tolerant controller; closed-loop system; RANDOMLY OCCURRING UNCERTAINTIES; NETWORKED CONTROL-SYSTEMS; FAULT-DETECTION; FILTER DESIGN; STATE ESTIMATION; DISCRETE; STABILIZATION; MODEL;
D O I
10.1049/iet-cta.2019.0921
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 study investigates the problem of reliable mixed H-infinity/passive control for Takagi-Sugeno (T-S) fuzzy semi-Markovian jump systems under different event-triggered schemes. An asynchronous fuzzy fault-tolerant controller is designed to deal with the actuator failures, which results in the closed-loop system is stochastically stable with a prescribed mixed H-infinity/passive performance level even if the actuator failures appear. In order to relieve the transmission pressure over the network, the authors utilise different event-triggered schemes and compare their ability of network resource saving. In addition, there is a difference between the system modes and the controller modes to formulate the asynchronisation phenomena. By implementing the delay system method, in combination with the free-weighting matrix and Lyapunov-Krasovskii functional, some conditions on the performance analysis are established to ensure the stochastic stability of the system. Then, controller gain matrices and event-triggered matrices can be obtained simultaneously based on a group of feasible linear matrix inequalities. Finally, simulations are given to show the availability of the proposed method.
引用
收藏
页码:594 / 604
页数:11
相关论文
共 44 条
  • [1] Barbu VS., 2009, Semi-Markov chains and hidden semi-Markov models toward applications: Their use in reliability and DNA analysis
  • [2] Riccati-Based Design of Event-Triggered Controllers for Linear Systems With Delays
    Borgers, Dominicus Paulus
    Dolk, Victor Sebastiaan
    Heemels, W. P. M. H.
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2018, 63 (01) : 174 - 188
  • [3] Boukas EK, 2005, INT J INNOV COMPUT I, V1, P131
  • [4] Static output feedback H∞ control of a class of nonlinear discrete-time systems
    Dong, Jiuxiang
    Yang, Guang-Hong
    [J]. FUZZY SETS AND SYSTEMS, 2009, 160 (19) : 2844 - 2859
  • [5] A survey on analysis and design of model-based fuzzy control systems
    Feng, Gang
    [J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2006, 14 (05) : 676 - 697
  • [6] Dynamic Triggering Mechanisms for Event-Triggered Control
    Girard, Antoine
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2015, 60 (07) : 1992 - 1997
  • [7] On designing of an adaptive event-triggered communication scheme for nonlinear networked interconnected control systems
    Gu, Zhou
    Yue, Dong
    Tian, Engang
    [J]. INFORMATION SCIENCES, 2018, 422 : 257 - 270
  • [8] Observer design for Takagi-Sugeno descriptor models: An LMI approach
    Guerra, Thierry Marie
    Estrada-Manzo, Victor
    Lendek, Zsofia
    [J]. AUTOMATICA, 2015, 52 : 154 - 159
  • [9] Conditions of output stabilization for nonlinear models in the Takagi-Sugeno's form
    Guerra, TM
    Kruszewski, A
    Vermeiren, L
    Tirmant, H
    [J]. FUZZY SETS AND SYSTEMS, 2006, 157 (09) : 1248 - 1259
  • [10] Filtering-based robust fault detection of fuzzy jump systems
    He, Shuping
    Liu, Fei
    [J]. FUZZY SETS AND SYSTEMS, 2011, 185 (01) : 95 - 110