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baroshi木虫 (正式写手)
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[求助]
求一篇SCI检索号，万分感谢！
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Fuzzy Q learning algorithm for dual-aircraft path planning to cooperatively detect a target by passive dadars. Journal of systems and engineering and electronics, 2013,24(5).谢谢！ [ 发自手机版 http://muchong.com/3g ] |
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baiyuefei
版主 (文学泰斗)
风雪
- LS-EPI: 1647
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2楼2014-03-18 12:41:11
baiyuefei
版主 (文学泰斗)
风雪
- LS-EPI: 1647
- 应助: 4642 (副教授)
- 贵宾: 46.969
- 金币: 658104
- 散金: 11616
- 红花: 995
- 沙发: 81
- 帖子: 69424
- 在线: 13328.4小时
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【答案】应助回帖
★ ★ ★ ★ ★ ★ ★ ★
baroshi: 金币+5, ★★★★★最佳答案 2014-03-18 12:55:37
jssxh: 金币+3, 检索EPI+1, 谢谢参与，请继续关注本版块！ 2014-03-18 15:02:57
baroshi: 金币+5, ★★★★★最佳答案 2014-03-18 12:55:37
jssxh: 金币+3, 检索EPI+1, 谢谢参与，请继续关注本版块！ 2014-03-18 15:02:57
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Fuzzy Q learning algorithm for dual-aircraft path planning to cooperatively detect targets by passive radars 作者:Gao, X (Gao, Xiang)[ 1 ] ; Fang, YW (Fang, Yangwang)[ 1 ] ; Wu, YL (Wu, Youli)[ 1 ] JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS 卷: 24 期: 5 页: 800-810 DOI: 10.1109/JSEE.2013.00093 出版年: OCT 2013 查看期刊信息 摘要 The problem of passive detection discussed in this paper involves searching and locating an aerial emitter by dual-aircraft using passive radars. In order to improve the detection probability and accuracy, a fuzzy Q learning algorithm for dual-aircraft flight path planning is proposed. The passive detection task model of the dual-aircraft is set up based on the partition of the target active radar's radiation area. The problem is formulated as a Markov decision process (MDP) by using the fuzzy theory to make a generalization of the state space and defining the transition functions, action space and reward function properly. Details of the path planning algorithm are presented. Simulation results indicate that the algorithm can provide adaptive strategies for dual-aircraft to control their flight paths to detect a non-maneuvering or maneuvering target. 关键词 作者关键词:Markov decision process (MDP); fuzzy Q learning; dual-aircraft coordination; path planning; passive detection KeyWords Plus:LOCALIZATION; BEARINGS; TRACKING; SYSTEMS; OPTIMIZATION; TRAJECTORIES 作者信息 通讯作者地址: Gao, X (通讯作者) Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Peoples R China. 地址: [ 1 ] Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Peoples R China 电子邮件地址:gaoxiang003@126.com; ywfang2008@sohu.com; wu_youli@126.com 基金资助致谢 基金资助机构 授权号 National Natural Science Foundation of China 60874040 查看基金资助信息 出版商 SYSTEMS ENGINEERING & ELECTRONICS, EDITORIAL DEPT, PO BOX 142-32, BEIJING, 100854, PEOPLES R CHINA 类别 / 分类 研究方向:Automation & Control Systems; Engineering; Operations Research & Management Science Web of Science 类别:Automation & Control Systems; Engineering, Electrical & Electronic; Operations Research & Management Science 文献信息 文献类型:Article 语种:English 入藏号: WOS:000326769600011 ISSN: 1004-4132 其他信息 IDS 号: 249HZ Web of Science 核心合集中的 "引用的参考文献": 30 Web of Science 核心合集中的 "被引频次": 0 |
3楼2014-03-18 12:42:38
baiyuefei
版主 (文学泰斗)
风雪
- LS-EPI: 1647
- 应助: 4642 (副教授)
- 贵宾: 46.969
- 金币: 658104
- 散金: 11616
- 红花: 995
- 沙发: 81
- 帖子: 69424
- 在线: 13328.4小时
- 虫号: 676696
- 注册: 2008-12-18
- 性别: GG
- 专业: 合成药物化学
- 管辖: 有机交流
4楼2014-03-18 12:42:50
6
