Resumen

GOIRE C, M. Margarita; FLORES A., J. Martín; BONILLA, Moisés  y  BARUCH, Ieroham S.. Model Reference Neural Control of a Variable Structure System. Comp. y Sist. [online]. 2003, vol.6, n.4, pp.284-292. ISSN 2007-9737.

The objective of this paper is to propose a reference model neural control of a system, which change its internal structure from a linear system of first order to a linear system of second order, applying for this task a recurrent neural network. Two schemes of reference model neural control, for the above mentioned system, are presented. One characteristic feature of the neural network used, is that a feedback weight restriction is applied, which preserved its stability during the learning The first control scheme uses one neural network for identification of the variable structure system; the second control scheme uses two neural networks so to separate the identification of each subsystem.

Palabras llave : Neural Networks; Variable Structure Systems; Model Reference Control; Intelligent Control; Implicit Systems.

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