Adaptive fuzzy nonlinear inversion-based control for uncertain chaotic systems

This paper presents a robust output feedback control method for uncertain chaotic systems, which comprises a nonlinear inversion-based controller with a fuzzy robust compensator. The proposed controller eliminates the unknown nonlinear function by using a fuzzy system, whose inputs are not the state...

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Veröffentlicht in:	Chinese physics B 2012-12, Vol.21 (12), p.123-129
1. Verfasser:	刘恒余海军向伟
Format:	Artikel
Sprache:	eng
Schlagworte:	Chaos theory Control systems Controllers Fuzzy Fuzzy logic Fuzzy set theory Fuzzy systems Lyapunov Nonlinearity Stability analysis 不确定混沌系统基础模糊系统自适应输出反馈控制非线性函数非线性反演
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container_title	Chinese physics B
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creator	刘恒余海军向伟
description	This paper presents a robust output feedback control method for uncertain chaotic systems, which comprises a nonlinear inversion-based controller with a fuzzy robust compensator. The proposed controller eliminates the unknown nonlinear function by using a fuzzy system, whose inputs are not the state variables but feedback error signals. The underlying stability analysis as well as parameter update law design are carried out by using the Lyapunov-based technique. The proposed method indicates that the nonlinear inversion-based control approach can also be applied to uncertain chaotic systems. Theoretical results are illustrated through two simulation examples.
doi_str_mv	10.1088/1674-1056/21/12/120505
format	Article
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subjects	Chaos theory Control systems Controllers Fuzzy Fuzzy logic Fuzzy set theory Fuzzy systems Lyapunov Nonlinearity Stability analysis 不确定混沌系统基础模糊系统自适应输出反馈控制非线性函数非线性反演
title	Adaptive fuzzy nonlinear inversion-based control for uncertain chaotic systems
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