DocumentCode :
1282587
Title :
Identification of parametric models from experimental data [Book Review]
Author :
Godfrey, K.
Author_Institution :
University of Warwick
Volume :
44
Issue :
12
fYear :
1999
Firstpage :
2321
Lastpage :
2322
Abstract :
The authors have produced a scholarly and comprehensive book on parametric model identification, covering the topic in considerably more depth than in previous texts. In their Preface, they state that the book is aimed at two groups of readers. The first consists of students wishing to familiarize themselves with the basic methods for system identification, parameter and state estimation, with the second consisting of researchers or engineers who have to squeeze parameters out of experimental data. This is quite an accurate summary of the potential readership, although the student readership is likely to be at postgraduate level only. The authors also state that they have tried to present the material as accessibly as possible, with the exposition moving from the simple to the more sophisticated. Again, this is true, but even so, it does take quite some effort to follow arguments through in places. The reader is well rewarded for making this effort.
Keywords :
Assembly; Biological system modeling; Book reviews; Conferences; Frequency domain analysis; MATLAB; Mathematical model; Parametric statistics; Signal processing; System identification;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.1999.811220
Filename :
811220
Link To Document :
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