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Hindawi, Mathematical Problems in Engineering, (2015), p. 1-8

DOI: 10.1155/2015/453806

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State Estimation for Discrete-Time Takagi-Sugeno Fuzzy Systems with Time-Varying Delays

Journal article published in 2014 by Ting Lei ORCID, Qiankun Song, Yurong Liu ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

The state estimation problem is investigated for discrete-time Takagi-Sugeno fuzzy systems with time-varying delays. By constructing appropriate Lyapunov-Krasovskii functionals and employing matrix inequality technique, a delay-dependent linear matrix inequalities (LMIs) criterion is developed to estimate the systems state with some observed output measurements such that the error-state system is globally asymptotically stable. An example with simulations is given to show the effectiveness of the proposed criterion.