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首页> 外文期刊>International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications >Decentralized guaranteed cost control for uncertain fuzzy large-scale systems with time-varying delays
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Decentralized guaranteed cost control for uncertain fuzzy large-scale systems with time-varying delays

机译:具有时变时滞的不确定模糊大型系统的分散保证成本控制

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摘要

In this paper, the decentralized guaranteed cost control problem of uncertain fuzzy large-scale systems with time-varying delays is investigated. The uncertain fuzzy large-scale systems consist of J interconnected subsystems, which are represented by Takagi-Sugeno (T-S) fuzzy models. Based on Lyapunov-Krasovskii functional theory and the linear matrix inequality optimization technique, decentralized control is proposed to guarantee asymptotic stability for uncertain fuzzy large-scale systems and minimize the guaranteed cost. Furthermore, the prerequisite that the time-derivative of time-varying delay must be smaller than one is unnecessary in this study. An illustrative example is provided to demonstrate the effectiveness of the results developed in this paper.
机译:本文研究了具有时变时滞的不确定模糊大系统的分散保本控制问题。不确定的模糊大规模系统由J个互连子系统组成,这些子系统由Takagi-Sugeno(T-S)模糊模型表示。基于Lyapunov-Krasovskii泛函理论和线性矩阵不等式最优化技术,提出了分散控制以保证不确定的模糊大系统的渐近稳定性并最小化保证成本。此外,在本研究中,时变延迟的时间导数必须小于1的前提是不必要的。提供了一个说明性的例子来证明本文开发的结果的有效性。

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