Abstract
To solve the problem of safety avoidance of fishing boat in open water, the mathematical motion models of collision avoidance is established on the basis of geometry of collision avoidance. Taking into account that alteration of course alone is the most commonly used action to avoid collision in sufficient sea-room. Therefore, the intelligent steering control based on Radial Basis Function (RBF) neural networks is proposed and added in the above models. The simulation results verify the effectiveness of the models.
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Acknowledgements
This work is supported by Foundation of Jiangsu Nautical Institute under Grant No. 2015B09 and Jiangsu Maritime Institute under Grant No. XR1501 & No.2015KJZD-01.
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Wang, R., Zhao, Y., Miao, K., Sun, J. (2018). Intelligent Steering Control Based the Mathematical Motion Models of Collision Avoidance for Fishing Vessel. In: Xhafa, F., Patnaik, S., Zomaya, A. (eds) Advances in Intelligent Systems and Interactive Applications. IISA 2017. Advances in Intelligent Systems and Computing, vol 686. Springer, Cham. https://doi.org/10.1007/978-3-319-69096-4_4
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DOI: https://doi.org/10.1007/978-3-319-69096-4_4
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