DocumentCode :
1125754
Title :
Nonlinear Blind Parameter Estimation
Author :
Lagrange, S. ; Jaulin, L. ; Vigneron, V. ; Jutten, C.
Author_Institution :
Univ. d´´Angers, Angers
Volume :
53
Issue :
3
fYear :
2008
fDate :
4/1/2008 12:00:00 AM
Firstpage :
834
Lastpage :
838
Abstract :
This note deals with parameter estimation of nonlinear continuous-time models when the input signals of the corresponding system are not measured. The contribution of the note is to show that, with simple priors about the unknown input signals and using derivatives of the output signals, one can perform the estimation procedure. As an illustration, we consider situations where the simple priors, e.g., independence or Gaussianity of the unknown inputs, is assumed.
Keywords :
continuous time systems; control system analysis; nonlinear control systems; parameter estimation; Gaussianity; nonlinear blind parameter estimation; nonlinear continuous-time models; Acceleration; Equations; Gaussian processes; Gravity; Hydraulic systems; Irrigation; Lagrangian functions; Parameter estimation; Signal analysis; State-space methods;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/TAC.2008.919573
Filename :
4484204
Link To Document :
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