Identification and modeling for non-linear dynamic system using neural networks type MLP

Authors:
Hernán González Acuña;Max Suell Dutra;Omar Lengerke
Affiliations:
UNAB - Colombia, COPPE -- UFRJ - Brazil;COPPE -- UFRJ - Brazil, Robotics Laboratory - UFRJ;COPPE -- UFRJ - Brazil, UNAB - Colombia
Venue:
Proceedings of the 2009 Euro American Conference on Telematics and Information Systems: New Opportunities to increase Digital Citizenship
Year:
2009

Citing 6
Cited 0

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Abstract

In control systems, the model dynamics of linear systems is the principal and most important phase of a project, but when working with dynamic of non-linear systems obtain the model becomes a very complex task can be used techniques of system identification. This article show the use of one technique for identification and modeling of dynamic linear systems and nonlinear systems using dynamics neural networks type multilayer perceptron, obtaining approximate results in the identification of non-linear system.