Parameter identification of smart float diving model based on ASNLS algorithm

Parameter identification of smart float diving model based on ASNLS algorithm

ObjectivesAiming at the challenge of accurate diving modeling of a smart float, an anti-saturation and noise least squares (ASNLS) algorithm is proposed in this paper to achieve diving multi-parameter identification and depth prediction. MethodsFirstly, the nonlinear motion characteristics of the sm...

Full description

Bibliographic Details
Main Authors: Yiming ZHONG, Caoyang YU, Junjun CAO, Baoheng YAO, Lian LIAN
Format: Article
Language:English
Published: Editorial Office of Chinese Journal of Ship Research 2024-02-01
Series:Zhongguo Jianchuan Yanjiu
Subjects:
smart float
parameter identification
antisaturation and noise least squares (asnls) algorithm
motion prediction
data saturation
Online Access:http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03186

Internet

http://www.ship-research.com/en/article/doi/10.19693/j.issn.1673-3185.03186

Similar Items