Sampled-Data H_(∞)Dynamic Output Feedback Controller Design for Fuzzy Markovian Jump Systems  

作　　者：LIN Yuqian ZHUANG Guangming XIA Jianwei CHEN Guoliang LU Junwei 

机构地区：[1]School of Mathematical Sciences,Liaocheng University,Liaocheng 252059,China [2]School of Electrical and Automation Engineering,Nanjing Normal University,Nanjing 210094,China

出　　处：《Journal of Systems Science & Complexity》2023年第1期239-256,共18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 Nos.62173174,61773191,62003154,61973148;Support Plan for Outstanding Youth Innovation Team in Shandong Higher Education Institutions under Grant No.2019KJI010;the Natural Science Foundation of Shandong Province for Key Projects under Grant No.ZR2020KA010;Graduate Education High-Quality Curriculum Construction Project for Shandong Province under Grant No.SDYKC20185.

摘　　要：This paper considers the issue of H_(∞)dynamic output feedback controller design for T-S fuzzy Markovian jump systems under time-varying sampling with known upper bound on the sampling intervals.The main aim is to realize sampled-data fuzzy dynamic output feedback control so as to demonstrate the stochastic stability and H_(∞)performance index of the closed-loop sampled-data fuzzy Markovian jump systems.Then,by making the most of the information within the sampling interval,a suitable closed-loop function is constructed and the integral terms are handled by using free weighted matrix method and improved integral inequality technique.Numerical example and single-link robot arm are presented to show the effectiveness of the developed method.

关 键 词：Dynamic output feedback control fuzzy Markovian jump systems H_(∞)control sampleddata control stochastic stability 

分 类 号：O211.62[理学—概率论与数理统计]