NDLI: Internal model control for hysteretic nonlinear systems based on support vector regression

Content Provider	IEEE Xplore Digital Library
Author	Wenguang Zhang Jianqin Mao Yanhua Ma
Copyright Year	2010
Description	Author affiliation: Beijing Key Laboratory of Measurement and Control Technology and System for Industrial Process, Control & Computer Engineering School, North China Electric Power University, China (Wenguang Zhang) \|\| School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, China (Jianqin Mao; Yanhua Ma)
Abstract	Aim at the hysteretic nonlinearity characteristic of the giant magnetostrictive actuator in control, an internal model control method based on support vector regression is presented in this paper. Its models are built by support vector regression using the input and output data of the actuator and the internal model control is achieved. The simulation results show the method in this paper has better control precision.
Starting Page	4761
Ending Page	4765
File Size	593220
Page Count	5
File Format	PDF
ISBN	9781424467129
e-ISBN	9781424467129
DOI	10.1109/WCICA.2010.5554478
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Actuators Automation Data models Computational modeling Hysteresis Magnetostriction internal model control hysteretic nonlinearity support vector regression giant magnetostriction
Content Type	Text
Resource Type	Article

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