Application of self-tuning control to complicated, non-linear system by using neural network

This paper is concerned with building a model of Artificial Neural Network Predictor (ANP) for the self-tuning adaptive system. The learning algorithm of ANN is proposed accompanying with the analysis of its control strategy. Here, it could perhaps provide the active idea to solve such difficulty problem that is about how to use self-tuning algorithm to control the non-linear, complicated system. The results have demonstrated that use of ANP in self-tuning control can provide the better performance than can be achieved using the general strategy.<<ETX>>