Open Access System for Information Sharing

Login Library

 

Conference
Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

System Identification of hovering type AUV using Kinematic model based Neural Network

Title
System Identification of hovering type AUV using Kinematic model based Neural Network
Authors
유선철노현우표주현성민성
Date Issued
2017-02-23
Publisher
IEEE Oceanic Engineering Society
Abstract
In this paper, we proposed identification methods for hovering type Autonomous underwater vehicle (AUV) based on neuro fuzzy network. We conducted sea trial using Cyclops which is hovering type AUV. [1] We verified the proposed identification method from the sea trial.
URI
https://oasis.postech.ac.kr/handle/2014.oak/47947
Article Type
Conference
Citation
IEEE OES International Symposium on Underwater Technology 2017 Busan, 2017-02-23
Files in This Item:
There are no files associated with this item.

qr_code

  • mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher

유선철YU, SON-CHEOL
Div. of Advanced Nuclear Enginrg
Read more

Views & Downloads

Browse