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Stability criteria for T-S fuzzy systems with interval time-varying delays and nonlinear perturbations based on geometric progression delay partitioning method

机译:基于几何级数时滞划分方法的带时变间隔和非线性摄动的T-S模糊系统的稳定性判据

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摘要

In this paper, a novel delay partitioning method is proposed by introducing the theory of geometric progression for the stability analysis of T-S fuzzy systems with interval time-varying delays and non-linear perturbations. Based on the common ratio a, the delay interval is unequally separated into multiple subintervals. A newly modified Lyapunov-Krasovskii functional (LKF) is established which includes triple-integral terms and augmented factors with respect to the length of every related proportional subintervals. In addition, a recently developed free-matrix-based integral inequality is employed to avoid the overabundance of the enlargement when dealing with the derivative of the LKF. This innovative development can dramatically enhance the efficiency of obtaining the maximum upper bound of the time delay. Finally, much less conservative stability criteria are presented. Numerical examples are conducted to demonstrate the significant improvements of this proposed approach. (C) 2016 ISA. Published by Elsevier Ltd. All rights reserved.
机译:本文通过引入几何级数理论提出了一种具有时变间隔时滞和非线性摄动的T-S模糊系统稳定性分析的时滞划分方法。基于公共比率a,延迟间隔不均等地分为多个子间隔。建立了一个新修改的Lyapunov-Krasovskii泛函(LKF),该泛函包括有关每个相关比例子区间的长度的三重积分项和扩充因子。此外,最近开发的基于自由矩阵的积分不等式可避免在处理LKF的导数时出现过多的扩大。这种创新的发展可以大大提高获得最大时延上限的效率。最后,提出了保守性较差的稳定性标准。数值算例表明了该方法的显着改进。 (C)2016 ISA。由Elsevier Ltd.出版。保留所有权利。

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