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时滞相关模糊静态输出反馈控制在具有分布时变时滞的离散时间模糊随机系统中的应用。

Delay-dependent fuzzy static output feedback control for discrete-time fuzzy stochastic systems with distributed time-varying delays.

机构信息

School of Science, Xidian University, ShanXi, Xi'an 710071, China.

出版信息

ISA Trans. 2012 Nov;51(6):702-12. doi: 10.1016/j.isatra.2012.06.011. Epub 2012 Jul 12.

Abstract

This paper is concerned with the delay-dependent H(∞) fuzzy static output feedback control scheme for discrete-time Takagi-Sugeno (T-S) fuzzy stochastic systems with distributed time-varying delays. To begin with, the T-S fuzzy stochastic system is transformed to an equivalent switching fuzzy stochastic system. Then, based on novel matrix decoupling technique, improved free-weighting matrix technique and piecewise Lyapunov-Krasovskii function (PLKF), a new delay-dependent H(∞) fuzzy static output feedback controller design approach is first derived for the switching fuzzy stochastic system. Some drawbacks existing in the previous papers such as matrix equalities constraint, coordinate transformation, the same output matrices, diagonal structure constraint on Lyapunov matrices and BMI problem have been eliminated. Since only a set of LMIs is involved, the controller parameters can be solved directly by the Matlab LMI toolbox. Finally, two examples are provided to illustrate the validity of the proposed method.

摘要

本文针对具有分布时变时滞的离散时间 Takagi-Sugeno(T-S)模糊随机系统,研究了时滞相关的 H(∞)模糊静态输出反馈控制方案。首先,将 T-S 模糊随机系统转化为等效的切换模糊随机系统。然后,基于新的矩阵解耦技术、改进的自由加权矩阵技术和分段 Lyapunov-Krasovskii 函数(PLKF),首次为切换模糊随机系统推导了一种新的时滞相关 H(∞)模糊静态输出反馈控制器设计方法。消除了先前文献中的一些缺陷,如矩阵等式约束、坐标变换、相同的输出矩阵、Lyapunov 矩阵的对角结构约束和 BMI 问题。由于只涉及一组 LMI,因此可以直接通过 Matlab LMI 工具箱求解控制器参数。最后,通过两个实例说明了所提出方法的有效性。

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