DocumentCode
1233621
Title
Identification of IIR Nonlinear Systems Without Prior Structural Information
Author
Bai, Er-Wei ; Tempo, Roberto ; Liu, Yun
Author_Institution
Dept. of Electr. & Comput. Eng., Iowa Univ., Iowa City, IA
Volume
52
Issue
3
fYear
2007
fDate
3/1/2007 12:00:00 AM
Firstpage
442
Lastpage
453
Abstract
In this paper, we propose a kernel method for identification of infinite impulse response (IIR) nonlinear systems without prior structural information. The main result of the paper is to establish the conditions for asymptotic convergence in terms of the input to output exponential stability. The performance of the method is tested on real world applications and computer simulations. The results obtained show the efficacy of the method
Keywords
asymptotic stability; identification; nonlinear estimation; asymptotic convergence; exponential stability; identification; infinite impulse response nonlinear system; structural information; Asymptotic stability; Convergence; Kernel; Minimization methods; Neural networks; Nonlinear systems; Parameter estimation; Piecewise linear approximation; System identification; Testing; Kernel method; nonlinear system identification; parameter estimation; system identification;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/TAC.2007.892385
Filename
4132894
Link To Document