Super Twisting sliding mode control of nonlinear system based on U model control

In this thesis, the Super-Twisting control algorithm is used to analyze the nonlinear control system based on U model. The non-affine nonlinear systems are described, and the 1-order and n-order nonlinear system is designed. The neural network approximation of the nonlinear function is performed by Super-Twisting control algorithm. The convergence of Super-Twisting algorithm is proved by the appropriate Lyapunov function. In order to verify the feasibility and effectiveness of the proposed method, the results show that the output of the controlled system can be tracked in a very short time by using the Super-Twisting controller, and the output of the controlled system can improve the robustness of the system.