Adaptive control based on neural estimation for systems with unknown hysteresis

A neural network based adaptive control scheme for systems with unknown hysteresis is proposed. In this scheme, an adaptive controller based on the proposed neural model is presented for a class of single-input nonlinear systems preceded by unknown hysteresis non-linearity. In order to handle the case where the output of hysteresis is immeasurable, the neural network model is utilized to estimate the influence of hysteresis. Based on the model-based estimation, the controller can compensate for hysteresis effect on the performance of the system.