中国科学院沈阳自动化研究所机构知识库
Advanced  
SIA OpenIR  > 机器人学研究室  > 会议论文
题名: Application of the case-based learning based on KD-tree in unmanned helicopter control
作者: Zhang DH(张道辉) ; Zhao XG(赵新刚) ; Chen Y(陈洋)
作者部门: 机器人学研究室
会议名称: 2011 International Conference on Electric and Electronics, EEIC 2011
会议日期: June 20-22, 2011
会议地点: Nanchang, China
会议主办者: Nanchang University
会议录: Lecture Notes in Electrical Engineering
会议录出版者: Springer Verlag
会议录出版地: Heidelberg, Germany
出版日期: 2011
页码: 721-729
收录类别: EI
ISSN号: 1876-1100
ISBN号: 9783642217647
关键词: Electrical engineering ; Helicopters ; Learning algorithms
摘要: The paper proposes a case-based learning based on KD-Tree for the hovering control and path planning of unmanned helicopters. We use nearest neighbor search, a basic case-based learning algorithm, to get the nearest neighbors of the target point in the Euclidean space from the cases to learn. Then we generate the output to control the system using the nearest neighbors. Simulation experiments show that this method performances well in the hovering control, not so well in the path planning. The method brings new ideas to the field of unmanned helicopter's control, and extends the application of the case-based learning based on KD-Tree as well. © 2011 Springer-Verlag Berlin Heidelberg.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8585
Appears in Collections:机器人学研究室_会议论文

Files in This Item: Download All
File Name/ File Size Content Type Version Access License
HYQW000318.pdf(407KB)----开放获取View Download
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Zhang DH(张道辉)]'s Articles
[Zhao XG(赵新刚)]'s Articles
[Chen Y(陈洋)]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Zhang DH(张道辉)]‘s Articles
[Zhao XG(赵新刚)]‘s Articles
[Chen Y(陈洋)]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
文件名: HYQW000318.pdf
格式: Adobe PDF
此文件暂不支持浏览
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

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

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院沈阳自动化研究所 - Feedback
Powered by CSpace