Trajectory Optimization for Cooperative Air Combat Engagement Based on Receding Horizon Control

被引：0

作者：

Ruan, Chengwei ^{[1
]}

Yu, Lei ^{[1
]}

Zhou, Zhongliang ^{[1
]}

Xu, An ^{[1
]}

机构：

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

来源：

INTELLIGENCE SCIENCE AND BIG DATA ENGINEERING: BIG DATA AND MACHINE LEARNING TECHNIQUES, ISCIDE 2015, PT II | 2015年 / 9243卷

关键词：

Cooperative attack; Air combat decision; Trajectory optimization; Artificial neural network (ANN); Nonlinear programming (NLP);

D O I：

10.1007/978-3-319-23862-3_45

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Trajectory optimization for cooperative air combat engagement is studied. The optimization problem of cooperative air combat is established based on the analysis of vertical tactical engagement, target functions and terminal constraints through three different tactical processions are proposed. The receding horizon control model and the numerical solution based on Simpson-direct-collocation are put forward. A BP neural network based approximation of the performance measures is proposed In order to improve the online performance. Finally, a simulation shows that this method is feasible in cooperative air combat engagement.

引用

页码：454 / 466

页数：13

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