Nonlinear Innovation-Based Maneuverability Prediction for Marine Vehicles Using an Improved Forgetting Mechanism

Nonlinear Innovation-Based Maneuverability Prediction for Marine Vehicles Using an Improved Forgetting Mechanism

This paper carries out marine vehicle maneuverability prediction based on nonlinear innovation. An improved Extended Kalman Filter (EKF) algorithm combined with a forgetting factor is developed by virtue of nonlinear innovation for ship maneuverability using full-scale data. Compared with existing a...

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Bibliographic Details
Main Authors: Chunyu Song, Xianku Zhang, Guoqing Zhang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Journal of Marine Science and Engineering
Subjects:
ship maneuvering
nonlinear innovation
real-time prediction
Extended Kalman Filter
forgetting factor
full-scale test
Online Access:https://www.mdpi.com/2077-1312/10/9/1210

Internet

https://www.mdpi.com/2077-1312/10/9/1210

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