4.7 Article

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

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Engineering, Marine

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

Baigang Zhao et al.

Summary: This paper proposes a nonlinear innovation parameter identification algorithm for ship models, which has been verified to have effectiveness and accuracy through experimental simulations. The improved algorithm enhances parameter identification accuracy by about 12% compared to the traditional least squares algorithm, demonstrating practicality and extendibility.

JOURNAL OF NAVIGATION (2021)

Article Engineering, Ocean

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

Yan Jiang et al.

Summary: The study uses support vector machines and least squares support vector machines to train response models for ship steering and roll motion, demonstrating good prediction ability and generalization performance through comparison with experimental data.

APPLIED OCEAN RESEARCH (2021)

Article Engineering, Ocean

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

Baigang Zhao et al.

Summary: This paper proposes a novel path-following control algorithm for surface vessels based on global course constraint. The algorithm divides the preset path into straight and waypoint segments, designing guidance laws for each to ensure smoother course changes for the ship. Through experiments and analysis using a teaching practice ship, the effectiveness and superiority of the algorithm are further verified.

APPLIED OCEAN RESEARCH (2021)

Article Engineering, Marine

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

Cailei Liang et al.

Summary: This study investigates problems in automatic route planning for safe navigation of ships. A route planning process using water depth information extracted from ENC data was designed, with the L+ algorithm and FO L+ algorithm utilized to create different planning routes based on safety depths.

OCEAN ENGINEERING (2021)

Article Engineering, Marine

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

Shuo Xie et al.

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY (2020)

Article Engineering, Marine

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

Hironori Yasukawa et al.

JOURNAL OF MARINE SCIENCE AND TECHNOLOGY (2019)

Article Automation & Control Systems

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

Fang Deng et al.

INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS (2019)

Article Energy & Fuels

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

Manuel Schimmack et al.

ENERGIES (2017)

Article Engineering, Marine

Dynamic model of manoeuvrability using Recursive Neural Networks

L Moreira et al.

OCEAN ENGINEERING (2003)