Path following control of discrete-time AUV with input-delay

Jiemei Zhao, Zhonghui Hu
{"title":"Path following control of discrete-time AUV with input-delay","authors":"Jiemei Zhao, Zhonghui Hu","doi":"10.1109/CCDC.2017.7979318","DOIUrl":null,"url":null,"abstract":"A path following control problem of discrete-time autonomous underwater vehicle (AUV) with input delay is studied. For solving the time-delay in control system, an neural network (NN) predictive control method is introduced. Since the velocities are very difficult to be accurately measured, here output feedback method is employed to overcome this problem. The stability analysis is given by Lyapunov theorem. Simulation results show the effectiveness of the proposed control strategy.","PeriodicalId":6588,"journal":{"name":"2017 29th Chinese Control And Decision Conference (CCDC)","volume":"36 1","pages":"4648-4652"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 29th Chinese Control And Decision Conference (CCDC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCDC.2017.7979318","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

A path following control problem of discrete-time autonomous underwater vehicle (AUV) with input delay is studied. For solving the time-delay in control system, an neural network (NN) predictive control method is introduced. Since the velocities are very difficult to be accurately measured, here output feedback method is employed to overcome this problem. The stability analysis is given by Lyapunov theorem. Simulation results show the effectiveness of the proposed control strategy.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
具有输入延迟的离散时间AUV路径跟踪控制
研究了具有输入延迟的离散时间自主水下航行器的路径跟踪控制问题。针对控制系统的时滞问题,提出了一种神经网络预测控制方法。由于速度难以精确测量,本文采用输出反馈方法克服了这一问题。用李亚普诺夫定理给出了稳定性分析。仿真结果表明了所提控制策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
UPQC Harmonic Detection Algorithm Based on Improved p-q Theory and Design of Low-Pass Filter Online parameters updating method for least squares support vector machine using Unscented Kalman filter Quadratic stabilization and L2 gain analysis of switched affine systems 3PL inventory pledge decision analysis under the unified credit logistics model Design and implementation of LiDAR navigation system based on triangulation measurement
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1