DocumentCode
700614
Title
Nonparametric estimation of uncertain components in nonlinear dynamical system modelling
Author
Hilgert, N. ; Senoussi, R. ; Vila, J.P.
Author_Institution
INRA Lab. de Biometrie, Montpellier, France
fYear
1997
fDate
1-7 July 1997
Firstpage
1090
Lastpage
1095
Abstract
A nonparametric identification of uncertain components in the modelling of time varying stochastic autoregressive nonlinear processes is proposed. A kernel estimator of the uncertain component is defined, whose almost sure convergence has been established under mild conditions. This approach is particularly well adapted to the identification of kinetic components in the modelling of biotechnological processes.
Keywords
estimation theory; identification; modelling; nonlinear systems; stochastic systems; biotechnological processes; kernel estimator; nonlinear dynamical system modelling; nonparametric estimation; nonparametric identification; time varying stochastic autoregressive nonlinear processes; uncertain components; Adaptation models; Biological system modeling; Convergence; Estimation; Kernel; Stochastic processes; Substrates; Estimation; Nonlinear dynamics; Stochastic;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (ECC), 1997 European
Conference_Location
Brussels
Print_ISBN
978-3-9524269-0-6
Type
conf
Filename
7082244
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