Research on Control Model of Flexible Manipulator for Ships Based on Fuzzy Neural Network
- https://doi.org/10.2991/iccse-16.2016.2How to use a DOI?
- Neural network algorithm, Flexible manipulator, Fuzzy control
In this paper, it makes study on a kind of control model of flexible manipulator for ships based on neural network algorithm, this model can solve the operation control problem of flexible manipulator when ships are in the voyage through the combination of traditional fuzzy theory and neural network algorithm. Through simulation, it can verify that this plan can have better effect when it transports the same quality load, which is better suited to dry cargo shipping task when ships are in sailing. At the same time, it can verify the feasibility of the neural network algorithm for the control of flexible manipulator.
- © 2016, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Libo Yang PY - 2016/10 DA - 2016/10 TI - Research on Control Model of Flexible Manipulator for Ships Based on Fuzzy Neural Network BT - Proceedings of the 2016 International Conference on Computational Science and Engineering (ICCSE 2016) PB - Atlantis Press SP - 9 EP - 13 SN - 2352-538X UR - https://doi.org/10.2991/iccse-16.2016.2 DO - https://doi.org/10.2991/iccse-16.2016.2 ID - Yang2016/10 ER -