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The selection algorithm of precedence rows based task assignment solution for vehicle-target pursuit system
Yang LY(杨丽英); Qi JT(齐俊桐); Han JD(韩建达)
Department机器人学研究室
Conference Name2012 International Conference on Modelling, Identification and Control, ICMIC 2012
Conference DateJune 24-26, 2012
Conference PlaceWuhan, China
Author of SourceIEEE Shanghai Section; International Journal of Modelling, Identification and Control; International Journal of Computer Applications and Technology; Huazhong University of Science and Technology; Wuhan University of Science and Technology
Source PublicationProceedings of 2012 International Conference on Modelling, Identification and Control, ICMIC 2012
PublisherIEEE Computer Society
Publication PlaceWashington, DC, United States
2012
Pages1141-1146
Indexed ByEI
EI Accession number20124015531594
Contribution Rank1
ISBN978-0-9567157-1-5
KeywordAlgorithms Identification (Control Systems)
AbstractIn this paper the task assignment for multi-target pursuit (MTP) problem with non-equal number of vehicle and target is studied. A mixed-inter programming (MILP) based minimax assignment criterion is formed, and a solution method called the Selection Algorithm of Precedence Rows (SAPR) originated from Operation on Matrix is presented. The simulations with less number and more number of targets being pursued are designed respectively to testify the efficiency of the proposed method.
Language英语
Document Type会议论文
Identifierhttp://ir.sia.cn/handle/173321/10105
Collection机器人学研究室
AffiliationState Key Laboratory of Robotics, Shenyang Institute of Automation (SIA), Chinese Academy of Sciences (CAS), China
Recommended Citation
GB/T 7714
Yang LY,Qi JT,Han JD. The selection algorithm of precedence rows based task assignment solution for vehicle-target pursuit system[C]//IEEE Shanghai Section; International Journal of Modelling, Identification and Control; International Journal of Computer Applications and Technology; Huazhong University of Science and Technology; Wuhan University of Science and Technology. Washington, DC, United States:IEEE Computer Society,2012:1141-1146.
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