典型文献
Quick identification of guidance law for an incoming missile using multiple-model mechanism
文献摘要：
A guidance law parameter identification model based on Gated Recurrent Unit(GRU)neural network is established.The scenario of the model is that an incoming missile(called missile)attacks a target aircraft(called aircraft)using Proportional Navigation(PN)guidance law.The parameter identification is viewed as a regression problem in this paper rather than a classification problem,which means the assumption that the parameter is in a finite set of possible results is dis-carded.To increase the training speed of the neural network and obtain the nonlinear mapping rela-tionship between kinematic information and the guidance law parameter of the incoming missile,an output processing method called Multiple-Model Mechanism(MMM)is proposed.Compared with a conventional GRU neural network,the model established in this paper can deal with data of any length through an encoding layer in front of the input layer.The effectiveness of the proposed Multiple-Model Mechanism and the performance of the guidance law parameter identification model are demonstrated using numerical simulation.
文献关键词：
中图分类号：
作者姓名：
Yinhan WANG;Shipeng FAN;Jiang WANG;Guang WU
作者机构：
School of Aerospace Engineers,Beijing Institute of Technology,Beijing 100081,China;Beijing Aerospace Automatic Institute,Beijing 100854,China
文献出处：
引用格式：
[1]Yinhan WANG;Shipeng FAN;Jiang WANG;Guang WU-.Quick identification of guidance law for an incoming missile using multiple-model mechanism)[J].中国航空学报（英文版）,2022(09):282-292
A类：
carded
B类：
Quick,identification,guidance,law,incoming,missile,using,multiple,model,mechanism,parameter,Gated,Recurrent,Unit,GRU,neural,network,established,scenario,that,called,attacks,target,aircraft,Proportional,Navigation,PN,viewed,regression,problem,this,paper,rather,than,classification,which,means,assumption,finite,set,possible,results,dis,To,increase,training,speed,obtain,nonlinear,mapping,rela,tionship,between,kinematic,information,output,processing,method,Multiple,Model,Mechanism,MMM,proposed,Compared,conventional,can,deal,data,any,length,through,encoding,layer,front,input,effectiveness,performance,demonstrated,numerical,simulation
AB值：
0.527022
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