²é¿´: 561  |  »Ø¸´: 3
±¾Ìû²úÉú 1 ¸ö LS-EPI £¬µã»÷ÕâÀï½øÐв鿴

baroshi

ľ³æ (ÕýʽдÊÖ)

[ÇóÖú] ÇóһƪSCI¼ìË÷ºÅ£¬Íò·Ö¸Ðл£¡

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).лл£¡

[ ·¢×ÔÊÖ»ú°æ http://muchong.com/3g ]
»Ø¸´´ËÂ¥

» ²ÂÄãϲ»¶

KeepFighting
ÒÑÔÄ   »Ø¸´´ËÂ¥   ¹Ø×¢TA ¸øTA·¢ÏûÏ¢ ËÍTAºì»¨ TAµÄ»ØÌû

baiyuefei

°æÖ÷ (ÎÄѧ̩¶·)

·çÑ©

ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÎÄÏ׽ܳö¹±Ï×ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÎÄÏ׽ܳö¹±Ï×ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÎÄÏ׽ܳö¹±Ï×ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷

¡¾´ð°¸¡¿Ó¦Öú»ØÌû

¸Ðл²ÎÓ룬ӦÖúÖ¸Êý +1
2Â¥2014-03-18 12:41:11
ÒÑÔÄ   »Ø¸´´ËÂ¥   ¹Ø×¢TA ¸øTA·¢ÏûÏ¢ ËÍTAºì»¨ TAµÄ»ØÌû

baiyuefei

°æÖ÷ (ÎÄѧ̩¶·)

·çÑ©

ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÎÄÏ׽ܳö¹±Ï×ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÎÄÏ׽ܳö¹±Ï×ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÎÄÏ׽ܳö¹±Ï×ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷

¡¾´ð°¸¡¿Ó¦Öú»ØÌû

¡ï ¡ï ¡ï ¡ï ¡ï ¡ï ¡ï ¡ï
baroshi: ½ð±Ò+5, ¡ï¡ï¡ï¡ï¡ï×î¼Ñ´ð°¸ 2014-03-18 12:55:37
jssxh: ½ð±Ò+3, ¼ìË÷EPI+1, лл²ÎÓ룬Çë¼ÌÐø¹Ø×¢±¾°æ¿é£¡ 2014-03-18 15:02:57
Fuzzy Q learning algorithm for dual-aircraft path planning to cooperatively detect targets by passive radars


×÷Õß:Gao, X (Gao, Xiang)[ 1 ] ; Fang, YW (Fang, Yangwang)[ 1 ] ; Wu, YL (Wu, Youli)[ 1 ]




JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS



¾í: 24

ÆÚ: 5

Ò³: 800-810

DOI: 10.1109/JSEE.2013.00093

³ö°æÄê: OCT 2013

²é¿´ÆÚ¿¯ÐÅÏ¢













































ÕªÒª

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.


¹Ø¼ü´Ê

×÷Õ߹ؼü´Ê:Markov decision process (MDP); fuzzy Q learning; dual-aircraft coordination; path planning; passive detection

KeyWords Plus:LOCALIZATION; BEARINGS; TRACKING; SYSTEMS; OPTIMIZATION; TRAJECTORIES


×÷ÕßÐÅÏ¢

ͨѶ×÷ÕßµØÖ·: Gao, X (ͨѶ×÷Õß)



      

Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Peoples R China.



µØÖ·:



      

[ 1 ] Air Force Engn Univ, Sch Aeronaut & Astronaut Engn, Xian 710038, Peoples R China



µç×ÓÓʼþµØÖ·:gaoxiang003@126.com; ywfang2008@sohu.com; wu_youli@126.com


»ù½ð×ÊÖúÖÂл



»ù½ð×ÊÖú»ú¹¹

ÊÚȨºÅ



National Natural Science Foundation of China


60874040

²é¿´»ù½ð×ÊÖúÐÅÏ¢   




³ö°æÉÌ

SYSTEMS ENGINEERING & ELECTRONICS, EDITORIAL DEPT, PO BOX 142-32, BEIJING, 100854, PEOPLES R CHINA


Àà±ð / ·ÖÀà

Ñо¿·½Ïò:Automation & Control Systems; Engineering; Operations Research & Management Science

Web of Science Àà±ð:Automation & Control Systems; Engineering, Electrical & Electronic; Operations Research & Management Science


ÎÄÏ×ÐÅÏ¢

ÎÄÏ×ÀàÐÍ:Article

ÓïÖÖ:English

Èë²ØºÅ: WOS:000326769600011

ISSN: 1004-4132


ÆäËûÐÅÏ¢

IDS ºÅ: 249HZ

Web of Science ºËÐĺϼ¯ÖÐµÄ "ÒýÓõIJο¼ÎÄÏ×": 30

Web of Science ºËÐĺϼ¯ÖÐµÄ "±»ÒýƵ´Î": 0
3Â¥2014-03-18 12:42:38
ÒÑÔÄ   »Ø¸´´ËÂ¥   ¹Ø×¢TA ¸øTA·¢ÏûÏ¢ ËÍTAºì»¨ TAµÄ»ØÌû

baiyuefei

°æÖ÷ (ÎÄѧ̩¶·)

·çÑ©

ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÎÄÏ׽ܳö¹±Ï×ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÎÄÏ׽ܳö¹±Ï×ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÎÄÏ׽ܳö¹±Ï×ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷ÓÅÐã°æÖ÷

¡¾´ð°¸¡¿Ó¦Öú»ØÌû

Èë²ØºÅ: WOS:000326769600011
4Â¥2014-03-18 12:42:50
ÒÑÔÄ   »Ø¸´´ËÂ¥   ¹Ø×¢TA ¸øTA·¢ÏûÏ¢ ËÍTAºì»¨ TAµÄ»ØÌû
Ïà¹Ø°æ¿éÌø×ª ÎÒÒª¶©ÔÄÂ¥Ö÷ baroshi µÄÖ÷Ìâ¸üÐÂ
×î¾ßÈËÆøÈÈÌûÍÆ¼ö [²é¿´È«²¿] ×÷Õß »Ø/¿´ ×îºó·¢±í
[¿¼ÑÐ] 0703»¯Ñ§µ÷¼Á£¬Çóµ¼Ê¦ÊÕ +3 ÌìÌìºÃÔËÀ´Éϰ¶° 2026-03-24 3/150 2026-03-24 13:24 by allen-yin
[¿¼ÑÐ] 085404µç×ÓÐÅÏ¢284·ÖÇóµ÷¼Á +4 13659058978 2026-03-24 4/200 2026-03-24 12:15 by syl20081243
[¿¼ÑÐ] 307Çóµ÷¼Á +3 ³¬¼¶ÒÁ°º´óÍõ 2026-03-24 3/150 2026-03-24 10:00 by pswait
[¿¼ÑÐ] һ־Ըɽ¶«´óѧҩѧѧ˶Çóµ÷¼Á +3 ¿ª¿ªÐÄÐÄû·³ÄÕ 2026-03-23 4/200 2026-03-24 00:06 by ¿ª¿ªÐÄÐÄû·³ÄÕ
[¿¼ÑÐ] ²ÄÁÏר˶ӢһÊý¶þ306 +8 z1z2z3879 2026-03-18 8/400 2026-03-23 20:49 by baobaoye
[¿¼ÑÐ] ÉúÎïѧһ־Ը985£¬·ÖÊý349Çóµ÷¼Á +6 zxts12 2026-03-21 9/450 2026-03-23 18:37 by macy2011
[¿¼ÑÐ] ¹¤¿Æ0856Çóµ÷¼Á +5 ãåÎö͡͡ 2026-03-21 5/250 2026-03-23 17:56 by º£ÉªÞ±-
[¿¼ÑÐ] 280·ÖÇóµ÷¼Á Ò»Ö¾Ô¸085802 +4 PUMPT 2026-03-22 7/350 2026-03-22 22:13 by ÐÇ¿ÕÐÇÔÂ
[¿¼ÑÐ] 289Çóµ÷¼Á +7 »³èªÎÕè¤l 2026-03-20 7/350 2026-03-22 15:57 by ColorlessPI
[¿¼ÑÐ] ÇóÖú +5 ÃÎÀïµÄÎÞÑÔ 2026-03-21 6/300 2026-03-21 17:51 by ѧԱ8dgXkO
[¿¼ÑÐ] Çóµ÷¼Á +3 °×QF 2026-03-21 3/150 2026-03-21 13:12 by zhukairuo
[¿¼ÑÐ] 085601µ÷¼Á 358·Ö +3 zzzzggh 2026-03-20 4/200 2026-03-21 10:21 by luoyongfeng
[¿¼ÑÐ] Ò»Ö¾Ô¸»ªÖпƼ¼´óѧ£¬080502£¬354·ÖÇóµ÷¼Á +5 ÊØºòϦÑôCF 2026-03-18 5/250 2026-03-21 01:06 by JourneyLucky
[¿¼ÑÐ] Ò»Ö¾Ô¸ Î÷±±´óѧ £¬070300»¯Ñ§Ñ§Ë¶£¬×Ü·Ö287£¬Ë«·ÇÒ»±¾£¬Çóµ÷¼Á¡£ +3 ³¿»èÏßÓëÐǺ£ 2026-03-18 3/150 2026-03-21 00:46 by JourneyLucky
[¿¼ÑÐ] 274Çóµ÷¼Á +10 S.H1 2026-03-18 10/500 2026-03-20 23:51 by JourneyLucky
[¿¼ÑÐ] 304Çóµ÷¼Á +7 ˾¿Õ. 2026-03-18 7/350 2026-03-20 23:08 by JourneyLucky
[¿¼ÑÐ] ¿¼Ñе÷¼ÁÇóÑ§Ð£ÍÆ¼ö +3 ²®ÀÖ29 2026-03-18 5/250 2026-03-20 22:59 by JourneyLucky
[¿¼ÑÐ] 0817 »¯Ñ§¹¤³Ì 299·ÖÇóµ÷¼Á ÓпÆÑо­Àú ÓжþÇøÎÄÕ +22 rare12345 2026-03-18 22/1100 2026-03-20 20:39 by zhukairuo
[¿¼ÑÐ] 085600²ÄÁÏÓ뻯¹¤µ÷¼Á 324·Ö +10 llllkkkhh 2026-03-18 12/600 2026-03-19 14:33 by llllkkkhh
[˶²©¼ÒÔ°] ºþ±±¹¤Òµ´óѧ ÉúÃü¿ÆÑ§Ó뽡¿µÑ§Ôº-¿ÎÌâ×éÕÐÊÕ2026¼¶Ê³Æ·/ÉúÎï·½Ïò˶ʿ +3 1ϲ´º8 2026-03-17 5/250 2026-03-17 17:18 by ber´¨cool×Ó
ÐÅÏ¢Ìáʾ
ÇëÌî´¦ÀíÒâ¼û