An LMI-based Fuzzy Control Method of Chaotic Systems

Yongbin Yu, Qishui Zhong, Kang Li, Juebang Yu, X. Liao
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引用次数: 1

Abstract

This paper represents a systematic framework for the stability and design of nonlinear fuzzy control chaotic systems. Based on Takagi-Sugeno(T-S) fuzzy model and parallel distributed compensation (PDC) design technique considering current state and delayed state feedback control, we propose delay-dependent chaos control criterion and stability corollary expressed in terms of linear matrix inequalities(LMIs). The design method is conceptually natural and effective for chaotic systems.
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基于lmi的混沌系统模糊控制方法
本文为非线性模糊控制混沌系统的稳定性和设计提供了一个系统框架。基于Takagi-Sugeno(T-S)模糊模型和考虑当前状态和延迟状态反馈控制的并行分布补偿(PDC)设计技术,提出了用线性矩阵不等式(lmi)表示的时滞相关混沌控制判据和稳定性推理。这种设计方法在概念上是自然的,对混沌系统是有效的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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