{"title":"System identification of hovering type AUV using Kinematic model based neural network","authors":"H. Roh, Juhyun Pyo, Minsung Sung, Son-cheol Yu","doi":"10.1109/UT.2017.7890319","DOIUrl":null,"url":null,"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.","PeriodicalId":145963,"journal":{"name":"2017 IEEE Underwater Technology (UT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Underwater Technology (UT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UT.2017.7890319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.