Identifying and controlling deadband systems using neural networks

We present a solution to identify and control a system containing a deadband feature. After describing the deadband, we show how to compute a convenient architecture for the neural network in charge of the identification process. Then, we test this architecture over a noise. Using the same technique, we compute the neural architecture to control a deadband system. The control loop is based on the internal model control theory