Title
Stochastic gradient algorithm for a dual-rate Box-Jenkins model based on auxiliary model and FIRmode.
Abstract
Based on the work in Ding and Ding (2008), we develop a modified stochastic gradient (SG) parameter estimation algorithm for a dual-rate Box-Jenkins model by using an auxiliary model. We simplify the complex dual-rate Box-Jenkins model to two finite impulse response (FIR) models, present an auxiliary model to estimate the missing outputs and the unknown noise variables, and compute all the unknown parameters of the system with colored noises. Simulation results indicate that the proposed method is effective. ? 2014 Journal of Zhejiang University Science Editorial Office and Springer-Verlag Berlin Heidelberg.
Year
DOI
Venue
2014
10.1631/jzus.C1300072
Journal of Zhejiang University: Science C
Keywords
DocType
Volume
Auxiliary model,Box-Jenkins model,Dual-rate system,FIR model,Parameter estimation,Stochastic gradient
Journal
15
Issue
ISSN
Citations 
2
1869196X
1
PageRank 
References 
Authors
0.35
11
2
Name
Order
Citations
PageRank
Jing Chen111113.60
Ruifeng Ding226111.82