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首页> 外文期刊>Chaos, Solitons and Fractals: Applications in Science and Engineering: An Interdisciplinary Journal of Nonlinear Science >New approach on robust stability for uncertain T–S fuzzy systems with state and input delays
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New approach on robust stability for uncertain T–S fuzzy systems with state and input delays

机译:具有状态和输入延迟的不确定T-S模糊系统鲁棒稳定性的新方法

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摘要

This paper proposes an approach for robust delay-dependent stability of a class of uncertain fuzzy systems with state and control input delays. The key features of the approach include a kind of Lyapunov–Krasovskii functional and a descriptor model transformation with a recent result on bounding of cross products of vectors. Unlike existing methodologies, the proposed approach does not involve free weighting matrices. It can, however, lead to much less conservative stability criteria than the existing ones for the systems under consideration. Numerical examples show that the proposed criteria improve the existing results significantly with much less computational effort.
机译:本文提出了一种具有状态和控制输入延迟一类不确定模糊系统的强大延迟依赖性稳定性的方法。 该方法的关键特征包括一种Lyapunov-Krasovskii功能和描述符模型转换,最近导致了向量的横向产品的界限。 与现有方法不同,所提出的方法不涉及自由加权矩阵。 然而,它可以导致比所考虑的系统的保守稳定性标准更少。 数值例子表明,拟议的标准在显着提高现有结果,以较少的计算工作。

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