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Reducing conservativeness in stability conditions of affine fuzzy systems using fuzzy Lyapunov function

机译:使用模糊Lyapunov函数减少仿射模糊系统稳定条件下的保守性

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This paper presents the relaxed stability condition for the affine fuzzy system using the fuzzy Lyapunov function which is the Lyapunov function with the membership function. Based on Lyapunov-stability theory, the relaxed stability condition for the affine fuzzy system is derived and represented to linear matrix inequalities(LMIs) with added null product term. Slack matrix variables are considered to analyze further relaxed stability condition. Finally, a simulation example is given to illustrate the merits of the proposed methods.
机译:本文利用模糊隶属函数Lyapunov函数给出了仿射模糊系统的松弛稳定性条件。基于李雅普诺夫稳定性理论,推导了仿射模糊系统的松弛稳定性条件,并将其表示为线性矩阵不等式(LMI),其中添加了零乘积项。考虑使用松弛矩阵变量来分析进一步的松弛稳定性条件。最后,给出了一个仿真实例来说明所提方法的优点。

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