基于模糊Lyapunov函数方法的可测前提变量离散时间T-S模糊系统观测器设计

2016 3rd International Conference on Information Science and Control Engineering (ICISCE) Pub Date : 2016-07-08 DOI:10.1109/ICISCE.2016.219

M. Rizk, M. Tayel, Walied M. Saed

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引用次数: 1

摘要

本文研究了以Takagi Sugeno为代表的具有可测前提变量的离散时间非线性系统的模糊观测器设计。提出了基于模糊李雅普诺夫函数的观测器设计方法。用线性矩阵不等式(LMI)给出了模糊观测器的收敛条件。最后，给出了一个算例来说明所提出的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Observer Design of Discrete Time T-S Fuzzy Systems with Measurable Premise Variables Based on Fuzzy Lyapunov Function Approach

This paper deals with the design of fuzzy observer for discrete time nonlinear system represented by Takagi Sugeno with measurable premise variables. The proposed observer design approach is based on fuzzy lyapunov function. The convergence conditions of the fuzzy observer are achieved in terms of Liner Matrix Inequalities (LMI). Finally, an example is given to illustrate the proposed result.

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2016 3rd International Conference on Information Science and Control Engineering (ICISCE)

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