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Objective Grey Prediction Filtering Algorithm Based on Combined Model
Yang Pu 1 *,Ni Jiangfan 2 #
1.Automation Department, Nanjing University of Aeronautics & Astronautics, Nanjing 210013
2.Automation Department, Nanjing University of Aeronautics & Astronautics
*Correspondence author
#Submitted by
Subject:
Funding: Supported by the Research Fund for the Doctoral Program of Higher Education of China (RFDP)(No.No.20103218120016)
Opened online:23 July 2013
Accepted by: none
Citation: Yang Pu,Ni Jiangfan.Objective Grey Prediction Filtering Algorithm Based on Combined Model[OL]. [23 July 2013] http://en.paper.edu.cn/en_releasepaper/content/4551339
 
 
Aiming at the problems of delay and uncertain disturbance of the target miss distance signal of optical tracking system, put forward an objective grey prediction filtering algorithm based on combined model. According to gray forecast theory, establish the grey forecasting model of the target signal directly, based on the analysis of traditional GM (1,1) model, we has improved it, and combine with time-series method to establish residual error model of objective grey prediction, so as to constitute combined model, improve the target prediction accuracy effectively. Finally, by experiment about comparing the simulated target and actual target, we concluded that target prediction filtering method we proposed is feasible and effective.
Keywords:target tracking; optical servo; grey systems; predictive control
 
 
 

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