Research on Ship Swaying Motion Prediction Based on Multi-Variable Chaotic Time Series Analysis

Abstract:

Wind and waves have particularly significant influence upon exertion of naval vessels battle effectiveness. It is urgently necessary to improve the ability of the Navy to carry out combat service in severe sea state normally. This paper aims to obtain the accurate prediction of ship motions with second level predictable time in real waves. According to the characteristics of the ship motion, the research on extremely short-time prediction of ship motion has been carried out based on multi-variable chaotic time series analysis, and the effectiveness of the prediction of ship motion in real wave is highly improved.

• Periodical: Advanced Materials Research (Volumes 712-715)
• Pages: 1550-1554
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.712-715.1550
• Online since: June 2013
• Authors: Xin Dong Yang, Zuo Chao Wang, Ai Guo Shi, Bo Liu, Li Li
• Keywords: Eliminating Pseudo Neighboring Point, Multi-Variable Chaotic Time Series, Prediction, Real Wave, Ship Swaying Motion

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