Finite-Time H_(∞)Sampled-Data Reliable Control for a Class of Markovian Jump Systems with Randomly Occurring Uncertainty via T-S Fuzzy Model  

作　　者：LIU Yuanyuan ZHANG Yutong MA Yuechao 

机构地区：[1]School of Science,Yanshan University,Qinhuangdao 066004,China

出　　处：《Journal of Systems Science & Complexity》2022年第3期860-887,共28页系统科学与复杂性学报（英文版）

基　　金：supported by the National Natural Science Foundation of China under Grant No.61273004;the Natural Science Foundation of Hebei Province No.F2018203099。

摘　　要：The paper analyzes finite-time H_(∞)sampled-data reliability control for nonlinear continuous time Markovian jump systems with randomly occurring uncertainty on account of T-S fuzzy model.In particular,the transition rates of the Markovian jump systems have both the upper bound and lower bound.Meanwhile,a new Lyapunov-Krasovskii functional(LKF)is considered,which fully captures the available characteristics of real sampling period,and a sampled-data controller with nonlinear actuator failures is designed.Based on the integral inequality technique,some less conservative conditions are proposed such that the stochastic fuzzy system is reliable in the sense,which satisfies finite-time bounded and certain H_(∞)performance levelγ.Additionally,some numerical examples can illustrate the effectiveness of the results.

关 键 词：Actuator fault control finite-time H_(∞)bounded Markovian jump system sampled-data control T-S fuzzy model 

分 类 号：O211.62[理学—概率论与数理统计] O231[理学—数学]