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Prediction of Rolling Force Based on a Fusion of Extreme Learning Machine and Self Learning Model of Rolling Force Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Intelligent Steering Control Based the Mathematical Motion Models of Collision Avoidance for Fishing Vessel

Authors : Renqiang Wang, Yuelin Zhao, Keyin Miao, Jianming Sun

Published in: Advances in Intelligent Systems and Interactive Applications

Publisher: Springer International Publishing

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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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Metadata
Title
Intelligent Steering Control Based the Mathematical Motion Models of Collision Avoidance for Fishing Vessel
Authors
Renqiang Wang
Yuelin Zhao
Keyin Miao
Jianming Sun
Copyright Year
2018
Book
Advances in Intelligent Systems and Interactive Applications

Print ISBN: 978-3-319-69095-7

Electronic ISBN: 978-3-319-69096-4

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-69096-4_4

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