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Variable structure control based on-line learning design for continuous time multilayer networks

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2 Author(s)
F. Rilas-Echeverria ; Dept. Sistemas de Control, Univ. de Los Andes, Merida, Venezuela ; E. Colina-Morles

The purpose of this paper is to introduce variable structure-based-on-line learning algorithms for continuous time two layer and three layer perceptron networks with non-linear and linear activation functions. The computer implementation of the proposed algorithms result in a temporal learning capabilities of a neural network with dynamically adjusted weights, and zero convergence of the learning error in a finite time. The performance of the considered networks is tested in terms of solving a tracking problem of a sine signal

Published in:

Intelligent Control, 1996., Proceedings of the 1996 IEEE International Symposium on

Date of Conference:

15-18 Sep 1996