Performance Analysis for Neuro Sliding Mode Control with Gain Adjustment

Sliding mode control is a typical nonlinear control strategy which was easy realized and with strong robustness, in this paper, a neuro sliding mode controller was designed with RBF neural networks and the stability of the proposed control scheme is proved by Lyapnouv theorem. For the chattering of sliding mode control are often derive from switching gain, the gain was adjusted with neural networks with RBF networks´ output, the algorithm with fixed gain and adaptive gain are all proposed, also the control scheme is applied to a nonlinear system, simulation studies shows the methods is effective and can applied into nonlinear control system.