In marine operations, the performance of model-based automatic control design and
decision support systems highly relies on the accuracy of the representative mathematical …

In recent years, as intelligent ship-navigation technology has advanced, the challenge of
accurately modeling and predicting the dynamic environment and motion status of ships has …

This article researches the filtering‐based parameter estimation issues for a class of
multivariate control systems with colored noise. A filtering‐based recursive generalized …

This paper considers the parameter estimation problem for bilinear stochastic systems with
autoregressive moving average (ARMA) noise using the stochastic gradient method. First …

In order to solve the problem of parameter identification of nonlinear ship motion model in
ship autonomous navigation control, a real-time parameter identification method based on …

Significant changes in the load of cargo ships make it difficult to simulate and control their
motion. In this work, a parameter prediction method for a ship maneuvering motion model is …

In order to further improve the accuracy of parameter identification of ship nonlinear motion
mathematical model, grey wolf optimizer-support vector regression (GWO-SVR) is …

In order to further explore more efficient identification algorithms that can solve the ship
motion identification modeling problem, a novel identification algorithm for 3-DOF ship …

In recent years, marine autonomous surface vessels (MASS) have grown into a ship
research issue to increase the level of autonomy of ship behavior decision-making and …

In this study, the crow search algorithm is used for the first time to address the parameter
identification problem of the ship motion model in the autonomous navigation of ships. A …