Offshore oil and gas drilling operations are going to remote and harsh arctic environments
with demands for heightened safety and resilience of operational facilities. The remote and …

Ship motion prediction is applied to the shipboard stabilized platform to keep the equipment
on the platform stable all the time, which is of great practical significance to the safety and …

While automatic controllers are frequently used during transit operations and low-speed
maneuvering of ships, ship operators typically perform docking maneuvers. This task is more …

This paper presents a model for forecasting the motion of a floating platform with satisfactory
forecasting accuracy. First, owing to the complex nonlinear characteristics of a time series of …

Accurate prediction of motion dynamics fundamentally promotes the autonomy of intelligent
ships, but faces great challenges in modeling mechanism. In this paper, to establish data …

An adaptive sliding mode control algorithm based on radial basis function neural networks
(RBF-NNs) is proposed to solve the problems of external disturbances, internal model …

The forecasting of ship's roll motion is the key to ensuring the safety of ship surface
operations and improving operations efficiency. A new hybrid multi-step forecasting model is …

The prediction of ship motions and quiescent periods, is of paramount importance for the
maritime industry. The capability to predict these events sufficiently in advance has the …

Real-time prediction of ship roll motion is vital for marine safety and efficiency of operations
onboard the ship. However, ship roll motion is a complex time-varying nonlinear process …

Abstract Autoregressive Integrated Moving Average (ARIMA) is one of the linear model that
is good, flexible, and easy to use in univariate time series analysis and forecasting. Some …