Adding nonlinear system dynamics to Levenberg-Marquardt algorithm for neural network control

Authors:
Mikel Larrea;Eloy Irigoyen;Vicente Gómez
Affiliations:
Department of Systems Engineering and Automatic Control, University of the Basque Country, UPV, EHU, ETSI, Bilbao;Department of Systems Engineering and Automatic Control, University of the Basque Country, UPV, EHU, ETSI, Bilbao;Department of Systems Engineering and Automatic Control, University of the Basque Country, UPV, EHU, ETSI, Bilbao
Venue:
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
Year:
2010

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Abstract

This paper presents a procedure to add the nonlinear system dynamics to the Levenberg-Marquardt algorithm. This algorithm is used to train a Neural Network Controller without the whole knowledge of the system to be controlled. Simulation results show a correct online training of the NN Controller.