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A direct adaptive neural network control for unknown nonlinear systems and its application

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2 Author(s)
Noriega, J.R. ; Dept. of Paper Sci., Univ. of Manchester Inst. of Sci. & Technol., UK ; Wang, H.

Presents a direct adaptive neural network control strategy for unknown nonlinear systems which are described by an unknown NARMA model. Taking the neural network as a neuro model of the system, control signals are directly obtained by minimizing either the instant difference or the cummulative differences between a setpoint and the output of the neuro model. An application to a flow rate control system is studied and desired results are obtained

Published in:
American Control Conference, Proceedings of the 1995  (Volume:6 )

Date of Conference: 21-23 Jun 1995

Page(s):
4285 - 4289 vol.6
Meeting Date :
21 Jun 1995-23 Jun 1995
Print ISBN:
0-7803-2445-5
INSPEC Accession Number:
5064991
Conference Location :
Seattle, WA
Digital Object Identifier :
10.1109/ACC.1995.532743
Product Type:
Conference Publications

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