Improved stability and stabilization criteria for T-S fuzzy systems with time-varying delay

Jian Chen, Chong Lin, Bing Chen
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Abstract

This paper studies the problems of stability analysis and stabilization for a class of nonlinear systems represented by T-S fuzzy models with time-varying delay. Based on a reinforced Lyapunov-Krasovskii functional, a new delay-dependent criterion for ensuring the asymptotic stability of the concerned fuzzy systems has been derived in terms of linear matrix inequalities (LMI). Then, the state feedback control design is derived to achieve the stabilization. The efficiency and merits of the proposed approach are shown through several numerical examples.
改进了时变时滞T-S模糊系统的稳定性和镇定准则
研究了一类具有时变时滞的T-S模糊模型非线性系统的稳定性分析与镇定问题。基于增强Lyapunov-Krasovskii泛函,用线性矩阵不等式(LMI)导出了一个新的保证模糊系统渐近稳定的时滞相关判据。然后,推导了状态反馈控制设计,实现了系统的稳定。算例表明了该方法的有效性和优越性。
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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