Session: 06-17-02 AI Technology for Ocean Engineering II

Paper Number: 123756

123756 - Identification of Ship Maneuvering Motion Based on Echo State Gaussian Process 

Ship maneuvering motion model is a crucial foundation for both prediction of ship navigation state and automatic control of ship motion. This paper proposes a practical and robust nonparametric identification method based on echo state Gaussian process (ESGP) to establish the nonparametric model of ship maneuvering motion. The traditional echo state networks (ESNs) and basic Gaussian processes (GPs) have found successfully applications in nonparametric modeling and time-series forecasting. The proposed method combines the strengths of both ESN and GP approaches. On the one hand, it offers a more robust alternative to conventional reservoir computing networks, and on the other hand, it can directly generate confidence intervals for prediction results. The KVLCC2 ship model is used as the subject of this research. The datasets collected from several standard and nonstandard zigzag maneuvers of free-running model, which are provided by SIMMAN 2020, are used as training and testing data. To assess the robustness and generalization ability of the established nonparametric model, the results of the ESGP method are compared with the experimental data and the results of other nonparametric modeling algorithms. It is shown that the ESGP method proposed in this paper can achieve higher prediction accuracy and provide a measure of credibility for the output results, which makes it more practical and applicable for ship maneuvering motion modeling and prediction.

Presenting Author: Siyu Liu Shanghai Jiao Tong University

Presenting Author Biography: Siyu Liu received the B.S. degree in Maritime Management from Wuhan University of Technology, Wuhan, China, in 2020. She is currently working toward the Ph.D. degree in Naval Architecture and Ocean Engineering at School of Naval Architecture, Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai, China. Her research interests include black-box modeling of ship maneuvering motion, automatic control of ship motion, collision avoidance, etc.

Authors:

Siyu Liu Shanghai Jiao Tong University
Zaojian Zou Shanghai Jiao Tong University
Lu Zou Shanghai Jiao Tong University