The lack of situational awareness is a major cause of ship collisions. Thus, enhancing the
situational awareness of the stand-on ship is a key for navigational safety, where the …

A robust neural network approximation-based output-feedback tracking controller is
proposed for autonomous underwater vehicles (AUVs) in six degrees-of-freedom in this …

A fully autonomous ship should be monitored in a digital environment to track its real-time
response to the changes in its surroundings. It is commanded by a controller algorithm …

At present, with the development of waterborne transport vehicles, research on ship faces a
new round of challenges in terms of intelligence and autonomy. The concept of maritime …

Nonlinear and underactuated ship maneuvering model is the main difficulty in ship motion
control, and model predictive control (MPC) offers a great choice to handle this problem …

In fault diagnosis methods based on evidence fusion, a piece of evidence is usually
extracted from the fault feature information, which uses the single-valued belief degrees …

Economic development cannot exceed the maximum amount that the environment can
support. Therefore, atmospheric environmental policy should be formulated based on the …

This study contributes to addressing the challenge of quickly obtaining an effective and
accurate nonparametric model for describing ship maneuvering motion in three degrees of …

A robust adaptive fuzzy neural network control (RAFNNC) algorithm is proposed based on a
generalized dynamic fuzzy neural network (GDFNN), proportion–integral–differential (PID) …

Ships are highly vulnerable to external disturbances like sea waves and sea winds; its
course kee** is a core problem of ship motion control. In order to solve the problems of …