Safety-Constrained Tracking Control of AUVs under Composite Disturbances via Adaptive Neural Disturbance Learning
This paper investigates safe trajectory tracking for fully actuated autonomous underwater vehicles under composite disturbances. A deeply coupled disturbance model is first derived to characterize the effects of hydrodynamic uncertainties, environmental disturbances, and actuator disturbances. An adaptive radial basis...