Learning-Based Data-Driven Heading Control for Unmanned Surface Vehicles: A Nussbaum-RBF Sliding Mode Approach
A novel data-driven Nussbaum-RBF Sliding Mode Control strategy is proposed for USV heading control that achieves superior tracking accuracy and robustness compared with the Nussbaum-RBF Adaptive Backstepping Control (NRABC) method.