Chang-Gui Wu

Composite learning based finite time nonsingular terminal sliding mode path tracking control for intelligent vehicles

Comprehensive comparative simulations demonstrate that the proposed composite learning-based finite-time nonsingular terminal sliding mode control (CL-FNTSMC) achieves superior tracking accuracy, faster convergence, and markedly improved disturbance rejection compared with conventional NTSMC, adaptive fast NTSMC, and P...