Online interactive identification method based on ESO disturbance estimation for motion model of double propeller propulsion unmanned surface vehicle

Author:

Xiong Yong,Wang Xianfei,Zhou Siwen

Publisher

Springer Science and Business Media LLC

Reference23 articles.

1. Zhang, W., Liu, X., & Han, P. (2020). Progress and challenges of overwater unmanned systems. Acta Automatica Sinica, 46(5), 847–857.

2. Zhang, X., Wang, X., Meng, Y., & Yin, Y. (2021). Research progress and future development trend of ship motion modeling and simulation. Journal of Dalian Maritime University, 47, 1–8.

3. Nguyen, T. (2022). Identification modeling and steering controller design for unmanned surface vehicles. In: 2022 6th International Conference on Green Technology and Sustainable Development (GTSD) (pp. 8–12). IEEE.

4. Qin, Y., & Ma, Y. (2014). Parametric identification of ship’s maneuvering motion based on improved least square method. In: 2014 International Conference on Mechatronics, Electronic, Industrial and Control Engineering (MEIC-14) (pp. 773–778). Atlantis Press.

5. Sun, G., Xie, J., & Wang, J. (2018). Ship course identification model based on recursive least squares algorithm with dynamic forgetting factor. Journal of Computer Applications, 38(3), 900.

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