NDLI: Robust adaptive control of a class of nonlinear systems with unknown Prandtl-Ishilinskii-Like hysteresis

Content Provider	IEEE Xplore Digital Library
Author	Jun Fu Wen-Fang Xie Shao-Ping Wang
Copyright Year	2009
Description	Author affiliation: Department of Mechanical & Industrial Engineering, Concordia University, Montreal, Quebec, Canada, H3G 1M8 (Jun Fu; Wen-Fang Xie) \|\| Department of Mechatronic Control, Beihang University, Beijing, China, 100083 (Shao-Ping Wang)
Abstract	Control of nonlinear systems preceded by unknown hysteresis nonlinearities is usually difficult and challenging due to the non-smooth nonlinearities of hysteresis. It has received increasing attention recently owing to growing industrial demands involving varied applications. Although many mathematical models have been proposed to describe the hysteresis phenomena, very few models are suitable to be fused with robust control techniques to have the basic requirement of stability of the overall hysteretic system. We first construct a hysteresis model using play-like operators and name it Prandtl-Ishilinskii-Like hysteresis model, and then develop two robust adaptive control algorithms to mitigate the hysteresis without constructing a complicated hysteresis inverse. The new schemes not only perform global stabilization and tracking tasks of the adaptive nonlinear systems, but also guarantee transient performance explicitly. Simulation results are given to illustrate and further validate the effectiveness of the proposed methods of this paper.
Starting Page	2448
Ending Page	2453
File Size	543441
Page Count	6
File Format	PDF
ISBN	9781424438716
ISSN	01912216
DOI	10.1109/CDC.2009.5400001
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robust control Adaptive control Nonlinear systems Hysteresis Mathematical model Nonlinear control systems Control nonlinearities Control systems Electrical equipment industry Robust stability
Content Type	Text
Resource Type	Article

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