DocumentCode :
49039
Title :
A Multi-Time-Scale Generalization of Recursive Identification Algorithm for ARMAX Systems
Author :
Lirong Huang ; Hjalmarsson, Hakan
Author_Institution :
Autom. Control Lab., KTH, Stockholm, Sweden
Volume :
60
Issue :
8
fYear :
2015
fDate :
Aug. 2015
Firstpage :
2242
Lastpage :
2247
Abstract :
Recently, Chen (2010) presented a new approach to recursive identification for ARMAX systems, which is a three-stage recursive scheme and assumes independent and identically distributed input signals. Here, we observe that, unless the time scale of the algorithm at one stage is reasonably faster than those at the previous stages, convergence to the true value may not take place. To remedy this issue, this note proposes a multi-time-scale modification of the algorithm in [5] such that convergence is achieved. In addition, the new scheme handles a wider class of input signals so that the input can be designed for some purpose.The advantage of the multi-time scale algorithm is verified with numerical examples.
Keywords :
convergence; identification; recursive estimation; signal processing; stochastic processes; ARMAX systems; identically distributed input signals; multitime-scale generalization algorithm; multitime-scale modification; recursive identification algorithm; three-stage recursive scheme; Algorithm design and analysis; Approximation algorithms; Approximation methods; Convergence; Equations; Recursive estimation; Stochastic processes; $L$-mixing processes; ARMAX models; L-mixing processes; multi-time-scale method; quasi-stationary signals; recursive estimation; stochastic approximation;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2014.2373711
Filename :
6963298
Link To Document :
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