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A Novel Parameter Identification Algorithm for 3-DOF Ship Maneuvering Modelling Using Nonlinear Multi-Innovation

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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s00773-018-0537-3openalex-snapshot

Evaluations of wave-induced steady forces and turning motion of a full hull ship in waves

inferredcites →https://doi.org/10.1007/s00773-019-00639-yopenalex-snapshot

Parameter identification of ship motion model based on multi-innovation methods

inferredcites →https://doi.org/10.1007/s00773-019-00641-4openalex-snapshot

Application of the MMG method for the prediction of steady sailing condition and course stability of a ship under external disturbances

inferredcites →https://doi.org/10.1007/s12555-019-0036-2openalex-snapshot

UKF Based Nonlinear Offset-free Model Predictive Control for Ship Dynamic Positioning Under Stochastic Disturbances

inferredcites →https://doi.org/10.1016/0005-1098(76)90064-9openalex-snapshot

Identification of ship steering dynamics

inferredcites →https://doi.org/10.1016/j.apor.2020.102239openalex-snapshot

Route planning and track keeping control for ships based on the leader-vertex ant colony and nonlinear feedback algorithms

inferredcites →https://doi.org/10.1016/j.apor.2021.102607openalex-snapshot

Identification of coupled response models for ship steering and roll motion using support vector machines

inferredcites →https://doi.org/10.1016/j.apor.2021.102635openalex-snapshot

A novel path-following control algorithm for surface vessels based on global course constraint and nonlinear feedback technology

inferredcites →https://doi.org/10.1016/j.isatra.2015.04.004openalex-snapshot

Multi-innovation auto-constructed least squares identification for 4 DOF ship manoeuvring modelling with full-scale trial data

inferredcites →https://doi.org/10.1016/j.oceaneng.2021.109389openalex-snapshot

Novel L+ and FO L+ algorithms based on ENC data for automatic route planning of ships

inferredcites →https://doi.org/10.1016/s0029-8018(02)00147-6openalex-snapshot

Dynamic model of manoeuvrability using recursive neural networks

inferredcites →https://doi.org/10.1017/s0373463321000102openalex-snapshot

An improved nonlinear innovation-based parameter identification algorithm for ship models

inferredcites →https://doi.org/10.1109/healthcom.2015.7454555openalex-snapshot

Combining Kalman filter and RLS-algorithm to improve a textile based sensor system in the presence of linear time-varying parameters

inferredcites →https://doi.org/10.1115/omae2013-10806openalex-snapshot

Modeling of Ship Manoeuvring Motion in 4 Degrees of Freedom Based on Support Vector Machines

inferredcites →https://doi.org/10.1177/1729881418825095openalex-snapshot

Parameter identification of unmanned marine vehicle manoeuvring model based on extended Kalman filter and support vector machine

inferredcites →https://doi.org/10.3390/en10040508openalex-snapshot

Hysteresis Analysis and Control of a Metal-Polymer Hybrid Soft Actuator

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Self-Organizing Data-Driven Online Prediction Model of Ship Maneuvering Fast-Dynamics

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Online Identification and Prediction of USV Maneuverability Parameters Based on Multi-innovation Recursive Least Squares Algorithm with a Forgetting Factor

inferred← citeshttps://doi.org/10.1007/s11768-024-00201-1openalex-snapshot

Online interactive identification method based on ESO disturbance estimation for motion model of double propeller propulsion unmanned surface vehicle

inferred← citeshttps://doi.org/10.1007/s11804-025-00681-wopenalex-snapshot

Review of System Identification for Manoeuvring Modelling of Marine Surface Ships

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Online parameter identification and real-time manoeuvring prediction for a water-jet USV based on weighted multi-innovation prediction error method integrated with dynamic window strategy

inferred← citeshttps://doi.org/10.1016/j.measurement.2025.117316openalex-snapshot

Parameter identification of vertical plane model for autonomous underwater vehicle based on hierarchical multi-innovation stochastic gradient algorithm

inferred← citeshttps://doi.org/10.1016/j.oceaneng.2022.113471openalex-snapshot

Identification modeling of ship nonlinear motion based on nonlinear innovation

inferred← citeshttps://doi.org/10.1016/j.oceaneng.2023.114328openalex-snapshot

Application of an offline identification algorithm for adjusting parameters of a modular manoeuvring mathematical model

inferred← citeshttps://doi.org/10.1016/j.oceaneng.2023.115255openalex-snapshot

Math-data integrated prediction model for ship maneuvering motion

inferred← citeshttps://doi.org/10.1016/j.oceaneng.2023.115328openalex-snapshot

Research on online interactive identification method for motion model of double propeller propulsion unmanned surface vehicle based on ESO disturbance estimation

inferred← citeshttps://doi.org/10.1016/j.oceaneng.2023.115989openalex-snapshot

Self-organizing data-driven prediction model of ship maneuvering fast-dynamics

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Simultaneous modeling and adaptive fuzzy sliding mode control scheme for underactuated USV formation based on real-time sailing state data

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Sensor data based system identification and modular autopilot control instrumentation of marine craft

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Hierarchical identification of a maneuvering model for a leisure boat utilizing open sea trial data

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PhyRL-PINN: Full-scale adaptive physics-informed ship sideslip estimation via reinforcement-learning-guided parameter scheduling

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Digital twin syncing for autonomous surface vessels using reinforcement learning and nonlinear model predictive control

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Virtual Testing for MASS: A Comprehensive Review of Current Practices, Gaps, and Standardization Needs

inferred← citeshttps://doi.org/10.1109/oceans51537.2024.10682352openalex-snapshot

An Adaptive Order Variation Mathematical Modeling of Ship Maneuvering Motion Under Environmental Changes

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Study on Fault Diagnosis Technology for Efficient Swarm Control Operation of Unmanned Surface Vehicles

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Parameter Identification of an Unmanned Surface Vessel Nomoto Model Based on an Improved Extended Kalman Filter

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Ship Model Identification Using Interpretable 4-DOF Maneuverability Models for River Combat Boat

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Research on Synthesis of Multi-Layer Intelligent System for Optimal and Safe Control of Marine Autonomous Object

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Parameter Prediction of the Non-Linear Nomoto Model for Different Ship Loading Conditions Using Support Vector Regression

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Advanced Marine Craft Model Identification via Multi-Kernel Weighted Least Square Support Vector Machine and Characteristic Model Techniques

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Sparse Bayesian Relevance Vector Machine Identification Modeling and Its Application to Ship Maneuvering Motion Prediction

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Identification of Multi-Innovation Stochastic Gradients with Maximum Likelihood Algorithm Based on Ship Maneuverability and Wave Peak Models

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Online Parameter Identification for PMSM Based on Multi-Innovation Extended Kalman Filtering

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