Vicente Gómez-Garay

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1. Abstract The work presented in this article is structured in three parts, focusing its attention on the reduction of the execution time required by the GA to accomplish the evolutive process when the error function is very complex. In order to do it, several strategies will be presented and studied. In the first one, a theoretical approach to determine(More)
This paper presents an Adaptive Predictive Control strategy based on Neural Networks for nonlinear systems. In order to train the Neural Network controller, an identification of the system is carried out by the Neural Network Identifier. This second Neural Network provides the training terms related to the nonlinear system dynamics. In this way it is(More)
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