NDLI: A novel adaptive fuzzy variable structure control for a class of nonlinear uncertain systems via backstepping

Content Provider	IEEE Xplore Digital Library
Author	Feng-Yih Hsu Li-Chen Fu
Copyright Year	1998
Description	Author affiliation: Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan (Feng-Yih Hsu)
Abstract	Presents a new design of adaptive fuzzy variable structure control to solve the traditional problem of model reference adaptive control (MRAC) for a class of single-input, single-output minimum-phase uncertain nonlinear systems via backstepping. Instead of taking the tedious coordinate transformation and yielding a "hard" high-gain controller, we introduce smooth B-spline-type membership functions into the controller so as to compensate for the uncertainties much "softer", i.e., in a much smoother and locally weighted manner. To be rigorous, it is shown that the stability of the closed-loop system can be assured and the tracking error can globally approach to an arbitrary preset dead-zone range.
Starting Page	2228
Ending Page	2233
File Size	549426
Page Count	6
File Format	PDF
ISBN	0780343948
ISSN	01912216
DOI	10.1109/CDC.1998.758674
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-12-18
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Programmable control Adaptive control Fuzzy control Fuzzy systems Nonlinear control systems Control systems Uncertain systems Nonlinear systems Backstepping Electric variables control
Content Type	Text
Resource Type	Article

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A novel adaptive fuzzy variable structure control for a class of nonlinear uncertain systems via backstepping