A dynamic genetic algorithm based on particle filter for UCAV formation control

Xingguang Peng; Demin Xu; Xiaoguang Gao

A dynamic genetic algorithm based on particle filter for UCAV formation control

Xingguang Peng
, Demin Xu
, Xiaoguang Gao

电子信息学院

Northwestern Polytechnical University Xian

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

1 引用（Scopus）

摘要

Formation control problem is an important issue in formation flying of unmanned combat aerial vehicles (UCAVs). A dynamic genetic algorithm based on particle filter (PFDGA) was proposed to solve this dynamic optimal control problem. Within this algorithm, the genetic algorithm (GA) and the particle filter (PF) are properly combined together. The GA provides observation of global optimum for the PF and the PF guide the search of the GA. Experimental results show PFDGA performs better in compare with random immigration GA (RIGA) and the formation control problem is effectively solved by PFDGA.

源语言	英语
主期刊名	Proceedings of the 29th Chinese Control Conference, CCC'10
页	5238-5241
页数	4
出版状态	已出版 - 2010
活动	29th Chinese Control Conference, CCC'10 - Beijing, 中国期限: 29 7月 2010 → 31 7月 2010

出版系列

姓名	Proceedings of the 29th Chinese Control Conference, CCC'10

会议

会议	29th Chinese Control Conference, CCC'10
国家/地区	中国
市	Beijing
时期	29/07/10 → 31/07/10

联合国可持续发展目标

此成果有助于实现下列可持续发展目标：

可持续发展目标 10 减少不平等

其它文件与链接

链接到 Scopus 的出版物

引用此

@inproceedings{7c7516d0fcb14c24817504afc082d7d8,

title = "A dynamic genetic algorithm based on particle filter for UCAV formation control",

abstract = "Formation control problem is an important issue in formation flying of unmanned combat aerial vehicles (UCAVs). A dynamic genetic algorithm based on particle filter (PFDGA) was proposed to solve this dynamic optimal control problem. Within this algorithm, the genetic algorithm (GA) and the particle filter (PF) are properly combined together. The GA provides observation of global optimum for the PF and the PF guide the search of the GA. Experimental results show PFDGA performs better in compare with random immigration GA (RIGA) and the formation control problem is effectively solved by PFDGA.",

keywords = "Dynamic genetic algorithm, Formation control, Particle filter, UCAV",

author = "Xingguang Peng and Demin Xu and Xiaoguang Gao",

year = "2010",

language = "英语",

isbn = "9787894631046",

series = "Proceedings of the 29th Chinese Control Conference, CCC'10",

pages = "5238--5241",

booktitle = "Proceedings of the 29th Chinese Control Conference, CCC'10",

note = "29th Chinese Control Conference, CCC'10 ; Conference date: 29-07-2010 Through 31-07-2010",

}

TY - GEN

T1 - A dynamic genetic algorithm based on particle filter for UCAV formation control

AU - Peng, Xingguang

AU - Xu, Demin

AU - Gao, Xiaoguang

PY - 2010

Y1 - 2010

N2 - Formation control problem is an important issue in formation flying of unmanned combat aerial vehicles (UCAVs). A dynamic genetic algorithm based on particle filter (PFDGA) was proposed to solve this dynamic optimal control problem. Within this algorithm, the genetic algorithm (GA) and the particle filter (PF) are properly combined together. The GA provides observation of global optimum for the PF and the PF guide the search of the GA. Experimental results show PFDGA performs better in compare with random immigration GA (RIGA) and the formation control problem is effectively solved by PFDGA.

AB - Formation control problem is an important issue in formation flying of unmanned combat aerial vehicles (UCAVs). A dynamic genetic algorithm based on particle filter (PFDGA) was proposed to solve this dynamic optimal control problem. Within this algorithm, the genetic algorithm (GA) and the particle filter (PF) are properly combined together. The GA provides observation of global optimum for the PF and the PF guide the search of the GA. Experimental results show PFDGA performs better in compare with random immigration GA (RIGA) and the formation control problem is effectively solved by PFDGA.

KW - Dynamic genetic algorithm

KW - Formation control

KW - Particle filter

KW - UCAV

UR - https://www.scopus.com/pages/publications/78650244121

M3 - 会议稿件

AN - SCOPUS:78650244121

SN - 9787894631046

T3 - Proceedings of the 29th Chinese Control Conference, CCC'10

SP - 5238

EP - 5241

BT - Proceedings of the 29th Chinese Control Conference, CCC'10

T2 - 29th Chinese Control Conference, CCC'10

Y2 - 29 July 2010 through 31 July 2010

ER -

A dynamic genetic algorithm based on particle filter for UCAV formation control

摘要

出版系列

会议

联合国可持续发展目标

其它文件与链接

学术指纹

引用此