Sampled-Data H∞ Dynamic Output Feedback Controller Design for Fuzzy Markovian Jump Systems

被引：5

作者：

Lin, Yuqian ^{[1
]}

Zhuang, Guangming ^{[1
]}

Xia, Jianwei ^{[1
]}

Chen, Guoliang ^{[1
]}

Lu, Junwei ^{[2
]}

机构：

[1] Liaocheng Univ, Sch Math Sci, Liaocheng 252059, Shandong, Peoples R China

[2] Nanjing Normal Univ, Sch Elect & Automat Engn, Nanjing 210094, Peoples R China

来源：

JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY | 2023年 / 36卷 / 01期

基金：

中国国家自然科学基金;

关键词：

Dynamic output feedback control; fuzzy Markovian jump systems; H-infinity control; sampled-data control; stochastic stability; ADMISSIBILITY; STABILIZATION; SUBJECT;

D O I：

10.1007/s11424-022-1196-3

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

This paper considers the issue of H-infinity 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-infinity 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.

引用

页码：239 / 256

页数：18

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