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Application of the case-based learning based on KD-tree in unmanned helicopter control
Zhang DH(张道辉); Zhao XG(赵新刚); Chen Y(陈洋)
Department机器人学研究室
Conference Name2011 International Conference on Electric and Electronics, EEIC 2011
Conference DateJune 20-22, 2011
Conference PlaceNanchang, China
Author of SourceNanchang University
Source PublicationLecture Notes in Electrical Engineering
PublisherSpringer Verlag
Publication PlaceHeidelberg, Germany
2011
Pages721-729
Indexed ByEI
EI Accession number20113214223940
Contribution Rank1
ISSN1876-1100
ISBN978-3-642-21764-7
KeywordElectrical Engineering Helicopters Learning Algorithms
Abstract

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.

Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/8585
Collection机器人学研究室
Affiliation1.College of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159, China
2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China
3.College of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan 430081, China
Recommended Citation
GB/T 7714
Zhang DH,Zhao XG,Chen Y. Application of the case-based learning based on KD-tree in unmanned helicopter control[C]//Nanchang University. Heidelberg, Germany:Springer Verlag,2011:721-729.
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