A novel adaptive fuzzy variable structure control for a class of nonlinear uncertain systems via backstepping
Resource
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Journal
Proceedings of the IEEE Conference on Decision and Control
Journal Volume
2
Pages
2228-2233
Date Issued
1998-12
Date
1998-12
Author(s)
Hsu, Feng-Yih
DOI
N/A
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.
Event(s)
Proceedings of the 1998 37th IEEE Conference on Decision and Control (CDC)
Type
journal article
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