Analysis and Design of Control Strategies based on Neural Networks

M. Alayón (Argentina), D. Sáez (Chile), and R. Veiga (Argentina)


Neural Networks Models; Non Linear Predictive Control, Non Linear Identification


In this paper, different control strategies based on neural networks are designed and compared by using a nonlinear system based on the Chen series. Also, a systematic identification methodology is described in order to determine an appropriate structure of a neural network model.

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