To Identify a Second Order Plant Approximating a Neural Network using Neural Network Based Predictive Control Technique

In this paper, a second order plant is considered for identification using NN-predictive control technique. The neural network based predictive controller is configured based on MATLAB 7.0. This neural network controller uses a neural network model of plant. It predicts the future performance of the actual plant. The controller uses to calculate the control input. The control input will optimize the performance of the plant. It optimizes the performances over a specified future time horizon. At first, the procedure of model predictive control takings identifies the neural network plant model. Then the predictive controller uses the plant model and predict the future performance of the model. Thus the term ‘predictive’ signifies to identify the model plant. We have considered an arbitrary second order plant to observe the performance of the controller how it can predict the future performance of the model plant. The result obtained via this procedure is very close approximation to the actual behaviour of the plant.