Sliding mode control of nonlinear systems using neural network

A new sliding mode control strategy for nonlinear systems using a learning algorithm of the neural network single layer perceptron model and the Lyapunov stability theory is presented in this paper. The key steps of this control strategy are to determine the sliding surface equations and the control inputs using a single layer perceptron model. An example is given to show the feasibility and effectiveness of the proposed control strategy.