Research graph
References from Comparative Evaluation of Rudder Excitation Signals for Bayesian Identification of an MMG Model. Local targets link to admitted publications; unresolved targets remain external evidence.
Application of optimal control theory based on the evolution strategy (CMA-ES) to automatic berthing
10.1007/s00773-019-00642-3 · 2020 · External reference
Collision avoidance path planning in multi-ship encounter situations
10.1007/s00773-021-00796-z · 2021 · External reference
Automatic ship collision avoidance using deep reinforcement learning with LSTM in continuous action spaces
10.1007/s00773-020-00755-0 · 2021 · External reference
Optimization on planning of trajectory and control of autonomous berthing and unberthing for the realistic port geometry
10.1016/j.oceaneng.2021.110390 · 2022 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Introduction of MMG standard method for ship maneuvering predictions
10.1007/s00773-014-0293-y · 2015 · External reference
Dynamic model of manoeuvrability using recursive neural networks
10.1016/s0029-8018(02)00147-6 · 2003 · External reference
System identification for nonlinear maneuvering of large tankers using artificial neural network
10.1016/j.apor.2008.10.003 · 2008 · External reference
Black-box modeling of ship manoeuvring motion based on feed-forward neural network with Chebyshev orthogonal basis function
10.1007/s00773-012-0190-1 · 2013 · External reference
Identification modeling and prediction of ship maneuvering motion based on LSTM deep neural network
10.1007/s00773-021-00819-9 · 2022 · External reference
Non-parameterized ship maneuvering model of Deep Neural Networks based on real voyage data-driven
10.1016/j.oceaneng.2023.115162 · 2023 · External reference
System identification modelling of ship manoeuvring motion based on ε-support vector regression
10.1016/s1001-6058(15)60510-8 · 2015 · External reference
Kernel-based support vector regression for nonparametric modeling of ship maneuvering motion
10.1016/j.oceaneng.2020.107994 · 2020 · External reference
Non-parametric dynamic system identification of ships using multi-output Gaussian Processes
10.1016/j.oceaneng.2018.07.056 · 2018 · External reference
System identification of ship dynamic model based on Gaussian process regression with input noise
10.1016/j.oceaneng.2020.107862 · 2020 · External reference
Circular motion tests and uncertainty analysis for ship maneuverability
10.1007/s00773-009-0065-2 · 2009 · External reference
Study of manoeuvrability of container ship by static and dynamic simulations using a RANSE-based solver
10.1080/17445302.2014.987439 · 2016 · External reference
System-based investigation on 4-DOF ship maneuvering with hydrodynamic derivatives determined by RANS simulation of captive model tests
10.1016/j.apor.2017.08.006 · 2017 · External reference
Identification of ship steering dynamics
10.1016/0005-1098(76)90064-9 · 1976 · External reference
Identification of hydrodynamic coefficients in ship maneuvering equations of motion by Estimation-Before-Modeling technique
10.1016/s0029-8018(03)00106-9 · 2003 · External reference
System parameter exploration of ship maneuvering model for automatic docking/berthing using CMA-ES
10.1007/s00773-022-00889-3 · 2022 · External reference
Hydrodynamic parameter identification for ship manoeuvring mathematical models using a Bayesian approach
10.1016/j.oceaneng.2019.106612 · 2020 · External reference
MMG 3DOF model identification with uncertainty of observation and hydrodynamic maneuvering coefficients using MCMC method
10.1007/s00773-024-01013-3 · 2024 · External reference
Optimal input design for hydrodynamic derivatives estimation of nonlinear dynamic model of AUV
10.1007/s11071-017-3611-1 · 2018 · External reference
Optimal design of excitation signal for identification of nonlinear ship manoeuvring model
10.1016/j.oceaneng.2019.106778 · 2020 · External reference
An Introduction to MCMC for Machine Learning
10.1023/a:1020281327116 · 2003 · External reference
Empirical formulas of hydrodynamic parameters for predicting ship maneuvering based on the MMG-model
10.1016/j.oceaneng.2025.121831 · 2025 · External reference
The No-U-turn sampler: Adaptively setting path lengths in Hamiltonian Monte Carlo
2014 · External reference
Unresolved reference
External reference
Unresolved reference
External reference
Circular motion tests and uncertainty analysis for ship maneuverability
10.1007/s00773-009-0065-2 · ExternalCitation · doi-reference
Black-box modeling of ship manoeuvring motion based on feed-forward neural network with Chebyshev orthogonal basis function
10.1007/s00773-012-0190-1 · ExternalCitation · doi-reference
Introduction of MMG standard method for ship maneuvering predictions
10.1007/s00773-014-0293-y · ExternalCitation · doi-reference
Application of optimal control theory based on the evolution strategy (CMA-ES) to automatic berthing
10.1007/s00773-019-00642-3 · ExternalCitation · doi-reference
Automatic ship collision avoidance using deep reinforcement learning with LSTM in continuous action spaces
10.1007/s00773-020-00755-0 · ExternalCitation · doi-reference
Collision avoidance path planning in multi-ship encounter situations
10.1007/s00773-021-00796-z · ExternalCitation · doi-reference
Identification modeling and prediction of ship maneuvering motion based on LSTM deep neural network
10.1007/s00773-021-00819-9 · ExternalCitation · doi-reference
System parameter exploration of ship maneuvering model for automatic docking/berthing using CMA-ES
10.1007/s00773-022-00889-3 · ExternalCitation · doi-reference
MMG 3DOF model identification with uncertainty of observation and hydrodynamic maneuvering coefficients using MCMC method
10.1007/s00773-024-01013-3 · ExternalCitation · doi-reference
Optimal input design for hydrodynamic derivatives estimation of nonlinear dynamic model of AUV
10.1007/s11071-017-3611-1 · ExternalCitation · doi-reference
Identification of ship steering dynamics
10.1016/0005-1098(76)90064-9 · ExternalCitation · doi-reference
System identification for nonlinear maneuvering of large tankers using artificial neural network
10.1016/j.apor.2008.10.003 · ExternalCitation · doi-reference
System-based investigation on 4-DOF ship maneuvering with hydrodynamic derivatives determined by RANS simulation of captive model tests
10.1016/j.apor.2017.08.006 · ExternalCitation · doi-reference
Non-parametric dynamic system identification of ships using multi-output Gaussian Processes
10.1016/j.oceaneng.2018.07.056 · ExternalCitation · doi-reference
Hydrodynamic parameter identification for ship manoeuvring mathematical models using a Bayesian approach
10.1016/j.oceaneng.2019.106612 · ExternalCitation · doi-reference
Optimal design of excitation signal for identification of nonlinear ship manoeuvring model
10.1016/j.oceaneng.2019.106778 · ExternalCitation · doi-reference
System identification of ship dynamic model based on Gaussian process regression with input noise
10.1016/j.oceaneng.2020.107862 · ExternalCitation · doi-reference
Kernel-based support vector regression for nonparametric modeling of ship maneuvering motion
10.1016/j.oceaneng.2020.107994 · ExternalCitation · doi-reference
Optimization on planning of trajectory and control of autonomous berthing and unberthing for the realistic port geometry
10.1016/j.oceaneng.2021.110390 · ExternalCitation · doi-reference
Non-parameterized ship maneuvering model of Deep Neural Networks based on real voyage data-driven
10.1016/j.oceaneng.2023.115162 · ExternalCitation · doi-reference
Empirical formulas of hydrodynamic parameters for predicting ship maneuvering based on the MMG-model
10.1016/j.oceaneng.2025.121831 · ExternalCitation · doi-reference
Dynamic model of manoeuvrability using recursive neural networks
10.1016/s0029-8018(02)00147-6 · ExternalCitation · doi-reference
Identification of hydrodynamic coefficients in ship maneuvering equations of motion by Estimation-Before-Modeling technique
10.1016/s0029-8018(03)00106-9 · ExternalCitation · doi-reference
System identification modelling of ship manoeuvring motion based on ε-support vector regression
10.1016/s1001-6058(15)60510-8 · ExternalCitation · doi-reference
An Introduction to MCMC for Machine Learning
10.1023/a:1020281327116 · ExternalCitation · doi-reference
Study of manoeuvrability of container ship by static and dynamic simulations using a RANSE-based solver
10.1080/17445302.2014.987439 · ExternalCitation · doi-reference
