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Neural network identification for underwater vehicle motion control system based on hybrid learning algorithm

Sun Yushan Wang Jianguo Wan Lei Hu Yunyan Jiang Chunmeng

高技术通讯（英文版）2012，Vol.18Issue(3)：243-247,5.

高技术通讯（英文版）2012，Vol.18Issue(3)：243-247,5.DOI:10.3772/j.issn.1006-6748.2012.03.004

Neural network identification for underwater vehicle motion control system based on hybrid learning algorithm

Sun Yushan ¹Wang Jianguo ²Wan Lei ¹Hu Yunyan ¹Jiang Chunmeng³

作者信息

1. State Key Laboratory of Autonomous Underwater Vehicle, Harbin Engineering University, Harbin 150001, P.R.China
2. China Ship Development and Design Center, Wuhan 430064, P.R.China
3. Humanities Department, City College of Wuhan University of Science and Technology, Wuhan 430083, P.R.China
折叠

摘要

关键词

underwater vehicle (UV)/system identification/neural network/genetic algorithm (GA)/back propagation algorithm

Key words

underwater vehicle (UV)/system identification/neural network/genetic algorithm (GA)/back propagation algorithm

引用本文复制引用

Sun Yushan,Wang Jianguo,Wan Lei,Hu Yunyan,Jiang Chunmeng..Neural network identification for underwater vehicle motion control system based on hybrid learning algorithm[J].高技术通讯（英文版）,2012,18(3):243-247,5.

基金项目

Supported by the Postdoctoral Science Foundation of China(No.20100480964),the Basic Research Foundation of Central University (No.HEUCF100104) and the National Natural Science Foundation of China (No.50909025/E091002). （No.20100480964）

高技术通讯（英文版）

OAEI

ISSN：1006-6748

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