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Time difference simultaneous perturbation for neurocontrol

Content Provider	IEEE Xplore Digital Library
Author	Maeda, Y. de Figueiredo, R.J.P. Kanata, Y.
Copyright Year	1998
Description	Author affiliation: Dept. of Electr. Eng., Kansai Univ., Osaka, Japan (Maeda, Y.)
Abstract	This paper proposes a neurocontroller via the time difference simultaneous perturbation learning rule to control an unknown plant. When we apply a direct inverse control scheme by a neural network, the neural network must learn an inverse system of the unknown plant. Therefore, we must know the Jacobian of the plant, when we use a kind of gradient method as a learning rule of the neural network. On the other hand, our control scheme described here does not require information about the plant Jacobian because the time difference simultaneous perturbation method estimates the gradient by using a kind of the finite difference. A tracking problem for a dynamic plant is shown to confirm the feasibility of the method.
Starting Page	1002
Ending Page	1006
File Size	390861
Page Count	5
File Format	PDF
ISBN	0780348591
ISSN	10987576
DOI	10.1109/IJCNN.1998.685908
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1998-05-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Jacobian matrices Control systems Gradient methods Perturbation methods Finite difference methods Inverse problems Process control
Content Type	Text
Resource Type	Article

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