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Proceedings Paper

Dynamical systems regulation by neurocontrollers
Author(s): Sigeru Omatu
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Paper Abstract

It is well-known that neural network systems have many typical properties compared with other information processing methods. Some of them are learning ability, generalization, and nonlinear characteristics. We propose a neuro-control method to construct adaptive control systems. Based on three kinds of neuro-control methods, we construct a corresponding neuro- controller to each method. Then we apply the method to a temperature control problem for a water bath and a heating furnace. Experimental results show that the present method provides excellent control results.

Paper Details

Date Published: 6 April 1995
PDF: 10 pages
Proc. SPIE 2492, Applications and Science of Artificial Neural Networks, (6 April 1995); doi: 10.1117/12.205163
Show Author Affiliations
Sigeru Omatu, Univ. of Tokushima (Japan)


Published in SPIE Proceedings Vol. 2492:
Applications and Science of Artificial Neural Networks
Steven K. Rogers; Dennis W. Ruck, Editor(s)

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