Robust adaptive self-structuring fuzzy control design for nonaffine, nonlinear systems

doi:10.1080/00207720903494635

機構典藏 > College of Engineering > Graduate Institute & Department of Electrical Engineering > Journal Article > Item 987654321/98854

Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/98854

Title:	Robust adaptive self-structuring fuzzy control design for nonaffine, nonlinear systems
Authors:	Chen, Pin-Cheng;Wang, Chi-Hsu;Lee, Tsu-Tian
Contributors:	淡江大學電機工程學系
Keywords:	adaptive control;robust control;fuzzy system;structure adaptation
Date:	2011-01
Issue Date:	2014-09-24 09:44:58 (UTC+8)
Publisher:	Abingdon: Taylor & Francis
Abstract:	In this article, a robust adaptive self-structuring fuzzy control (RASFC) scheme for the uncertain or ill-defined nonlinear, nonaffine systems is proposed. The RASFC scheme is composed of a robust adaptive controller and a self-structuring fuzzy controller. In the self-structuring fuzzy controller design, a novel self-structuring fuzzy system (SFS) is used to approximate the unknown plant nonlinearity, and the SFS can automatically grow and prune fuzzy rules to realise a compact fuzzy rule base. The robust adaptive controller is designed to achieve an L 2 tracking performance to stabilise the closed-loop system. This L 2 tracking performance can provide a clear expression of tracking error in terms of the sum of lumped uncertainty and external disturbance, which has not been shown in previous works. Finally, five examples are presented to show that the proposed RASFC scheme can achieve favourable tracking performance, yet heavy computational burden is relieved.
Relation:	International Journal of Systems Science 42(1), pp.149-169
DOI:	10.1080/00207720903494635
Appears in Collections:	[Graduate Institute & Department of Electrical Engineering] Journal Article

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