NDLI: Adaptive tracking control based on online LS-SVM identifier for unknown nonlinear system

Content Provider	IEEE Xplore Digital Library
Author	Zhenyan Wang Zhen Zhang Jianqin Mao
Copyright Year	2012
Description	Author affiliation: School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing, 100191 China (Zhen Zhang; Jianqin Mao) \|\| School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191 (Zhenyan Wang)
Abstract	The paper proposes a combined control scheme for completely unknown nonlinear system with an adaptive neural network (ANN) inverse controller based on online least squares support vector machines (LS-SVM) identifier. The neural network controller parameters are adjusted by gradient information of online LS-SVM for the unknown nonlinear system. As well as, considering of the parameter regulating process of ANN, a proportional-integral-derivative (PID) controller is combined to improve the control performance in initial stage. The simulation experiments are made to illustrate the efficiency of the proposed method. The results show that the proposed control method is effective and can achieve better control performance for completely unknown nonlinear system.
Starting Page	112
Ending Page	117
File Size	928383
Page Count	6
File Format	PDF
ISBN	9781457703430
e-ISBN	9781457703454
DOI	10.1109/ICIST.2012.6221618
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-03-23
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Support vector machines Adaptation models Adaptive systems Artificial neural networks Prediction algorithms Nonlinear systems
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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