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Improved Stability Criteria for T-S fuzzy Systems with Time-varying Delay via a New Integral Inequality

机译:通过新的整体不平等改进了T-S模糊系统的稳定性标准,通过新的整体不平等

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This paper focuses on the further improved stability criteria of uncertain T-S fuzzy systems with time-varying delay by the delay-partitioning approach and a new integral inequality, i.e., the Free-Matrix-Based integral inequality. A modified augmented Lyapunov-Krasovskii functional (LKF) is established by partitioning the delay in all integral terms. Then, new results on tighter bounding inequalities such as Peng-Park's integral inequality (reciprocally convex approach) and the Free-Matrix-based integral inequality (which yields less conservative stability criteria than the Wirtinger-based inequality) are introduced to reduce the enlargement in bounding the derivative of LKF as much as possible, therefore, less conservative results can be expected in terms of e_s and MIs. Finally, a numerical example is included to show that the proposed conditions are less conservative than existing ones.
机译:本文侧重于通过延迟分区方法和新的整体不等式,即基于自由矩阵的整体不等式的新的不确定T-S模糊系统的进一步提高了不确定的T-S模糊系统的稳定性标准。通过将所有整体项的延迟分区来建立修改的增强Lyapunov-Krasovskii功能(LKF)。然后,引入了彭公园积分不等式(相互凸面的不平等)和自由矩阵的整体不等式(比丝网的不平等产生较少的保守稳定标准)的新结果,以减少扩大因此,尽可能少地绑定LKF的衍生物,因此可以在E_S和MIS方面预期保守的结果。最后,包括一个数字示例以表明所提出的条件比现有的保守较少。

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