Chaotic Control using Fuzzy Model-Based Methods

doi:10.1142/S0218127402005479

淡江大學機構典藏 > 工學院 > 電機工程學系暨研究所 > 期刊論文 > Item 987654321/55128

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题名:	Chaotic Control using Fuzzy Model-Based Methods
作者:	Lian, Kuang-yow;Liu, Peter;Wu, Tsu-Cheng;Lin, Wei-chi
贡献者:	淡江大學電機工程學系
关键词:	Chaotic control;T-S fuzzy model;fuzzy observer;linear matrix inequalities
日期:	2002-03
上传时间:	2011-08-16 20:45:04 (UTC+8)
出版者:	World Scientific Publishing Company
摘要:	In this paper, we propose a fuzzy tracking control for chaotic systems with immeasurable states. First we represent the chaotic and reference systems into T–S fuzzy models. Some properties concerning the premise variable selection and controller placement for chaotic systems are discussed. When considering immeasurable states, an observer is designed along with the controller to track a reference model which is a fixed point, a stable nonlinear system, or a chaotic system. For different premise variables between the plant and reference models, a robust approach is used to deal with the problem. The conditions for dealing with the stability of the overall error system are formulated into LMIs. Since the simultaneous solution to both the controller and observer gains with disturbances are not trivial, a two-step method is utilized. The methodology proposed above is applied to both continuous-time and discrete-time chaotic systems. Two well-known examples, the Chua's circuit for continuous-time and Hénon map for discrete-time, are used in numerical simulations and DSP-based experiments. The results verify the validity of theoretical derivations.
關聯:	International Journal of Bifurcation and Chaos 12(8), p.1827-1841
DOI:	10.1142/S0218127402005479
显示于类别:	[電機工程學系暨研究所] 期刊論文

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