F.M AL-Sunni - King Fahd University of Petroleum and Minerals
S.A Ahmed
W.K AL-Marhoon - Saudi Arabia Oil Company

In this paper we develop Neural Network (NN) based Adaptive Controllers. The motivations for the proposed schemes are to extend the model-base approach to incorporate PID-like controllers and augment it with NN to overcome problems related to the operating point variations and sensitivity of the controller to model drift. We present different adaptive NN-based schemes, and give some simulation results.