Adaptive Control Using Combined Online and Background Learning Neural Network

Abstract

A new adaptive neural network (NN) control concept is proposed with proof of stability properties. The NN learns the plant dynamics with online training, and then combines this with background learning from previously recorded data, which can be advantageous to the NN adaptation convergence characteristics. The network adaptation characteristics of the new combined online and background learning adaptive NN is demonstrated through simulations.

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Cite this paper

@inproceedings{Johnson2004AdaptiveCU, title={Adaptive Control Using Combined Online and Background Learning Neural Network}, author={Eric N. Johnson and Seung-Min Oh}, year={2004} }