Robust Exponential H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$H_{\infty }$$\end{document} Filtering for Discrete-Time Switched Fuzzy Systems with Time-Varying Delay

被引:0
作者
Gang Wang
Rongqiang Xie
Hongbin Zhang
Guanjie Yu
Chuangyin Dang
机构
[1] University of Electronic Science and Technology of China,Centre for Nonlinear and Complex Systems, School of Electronic Engineering
[2] City University of Hong Kong,Systems Engineering and Engineering Management
关键词
Switched fuzzy systems; Discrete-time; filter; Time-varying delay; Exponentially stable;
D O I
10.1007/s00034-015-0062-0
中图分类号
学科分类号
摘要
This paper considers H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$H_{\infty }$$\end{document} filtering of discrete-time uncertain switched nonlinear systems with time-varying delay via Takagi–Sugeno fuzzy model which is used to approximate each nonlinear subsystem. Fuzzy piecewise Lyapunov–Krasovskii functionals and average dwell time approaches are utilized for the exponential stability analysis and H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$H_{\infty }$$\end{document} filter design. A new sufficient condition is obtained to guarantee the exponential stability with a prescribed H∞\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$H_{\infty }$$\end{document} performance index for the filtering error system. Filter parameter matrices can be obtained by solving sets of linear matrix inequalities. An example of an uncertain single-link robot arm is given to demonstrate the effectiveness of the proposed method.
引用
收藏
页码:117 / 138
页数:21
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