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  • 标题:Improved Results on Fuzzy <svg style="vertical-align:-0.0pt;width:40.450001px;" id="M1" height="14.7625" version="1.1" viewBox="0 0 40.450001 14.7625" width="40.450001" xmlns="http://www.w3.org/2000/svg"> <g transform="matrix(1.25,0,0,-1.25,0,14.7625)"> <g transform="translate(72,-60.19)"> <text transform="matrix(1,0,0,-1,-71.95,60.24)"> <tspan style="font-size: 17.93px; " x="0" y="0">𝐻</tspan> <tspan style="font-size: 17.93px; " x="15.655509" y="0">∞</tspan> </text> </g> </g> </svg> Filter Design for T-S Fuzzy Systems
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  • 作者:Jiyao An ; Guilin Wen ; Wei Xu
  • 期刊名称:Discrete Dynamics in Nature and Society
  • 印刷版ISSN:1026-0226
  • 电子版ISSN:1607-887X
  • 出版年度:2010
  • 卷号:2010
  • DOI:10.1155/2010/392915
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The fuzzy 𝐻∞ filter design problem for T-S fuzzy systems with interval time-varying delay is investigated. The delay is considered as the time-varying delay being either differentiable uniformly bounded with delay derivative in bounded interval or fast varying (with no restrictions on the delay derivative). A novel Lyapunov-Krasovskii functional is employed and a tighter upper bound of its derivative is obtained. The resulting criterion thus has advantages over the existing ones since we estimate the upper bound of the derivative of Lyapunov-Krasovskii functional without ignoring some useful terms. A fuzzy 𝐻∞ filter is designed to ensure that the filter error system is asymptotically stable and has a prescribed 𝐻∞ performance level. An improved delay-derivative-dependent condition for the existence of such a filter is derived in the form of linear matrix inequalities (LMIs). Finally, numerical examples are given to show the effectiveness of the proposed method.
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