RBFNN for Real-Time Process Identification and Control with Selective Forgetting

Abstract

This work is concerned with the problem of the real-time identification and control of dynamic non-linear systems using a neural network approach. The chosen model was the Gaussian Radial Basis Function Neural Network (RBFNN) type, due to its universal approximation property and also to the fact that the parameters are linearly related to the outputs… (More)

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