Neural Sliding Mode Control for Systems with Hysteresis

In this paper, a neural network based sliding model control scheme for systems with unknown hysteresis is proposed. In the control scheme, a neural network model is utilized to describe the behavior of hysteresis. Comparing with the Preisach model, the proposed model can be easily adjusted on-line to adapt the change of operation conditions. Then, an adaptive neural sliding mode controller based on the proposed neural model is presented for a class of single-input nonlinear systems with unknown hysteresis non-linearity