DocumentCode :
816295
Title :
A recursive (on-line) maximum likelihood identification method
Author :
Gertler, Janos ; Banyasz, C.
Author_Institution :
Institute for Computing and Automation, Hungarian Academy of Sciences, Budapest, Hungary
Volume :
19
Issue :
6
fYear :
1974
fDate :
12/1/1974 12:00:00 AM
Firstpage :
816
Lastpage :
820
Abstract :
A recursive (on-line) identification algorithm is developed based upon the off-line maximum likelihood method by Åström and Bohlin. The basic idea of the algorithm consists in two modifications to the classical method. First an approximate noisemodel is applied to eliminate auto-regressive filtering in the computation of the noise-derivatives. Second, some approximations are introduced to make the direct recursive version of the iteration equations really on-line. The combination of the two modifications yields a compact on-line algorithm.
Keywords :
Linear systems, time-invariant discrete-time; Parameter identification; Recursive estimation; maximum-likelihood (ML) estimation; Equations; Filtering; Helium; Maximum likelihood estimation; Measurement standards; Noise measurement; Parameter estimation; Polynomials; Read only memory; Transfer functions;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1974.1100722
Filename :
1100722
Link To Document :
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