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. © 2010 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Larrea, M., Irigoyen, E., & Gómez, V. (2010). Adding nonlinear system dynamics to Levenberg-Marquardt algorithm for neural network control. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6354 LNCS, pp. 352–357). https://doi.org/10.1007/978-3-642-15825-4_47
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