Continuous time system identification with orthonormal functions — A new approach

Author

Ouvrard, R. ; Coirault, P. ; Poinot, T. ; Trigeassou, J.C.

Author_Institution

L.A.I.I., E.S.I.P., Poitiers, France

fYear

1999

fDate

Aug. 31 1999-Sept. 3 1999

Firstpage

4697

Lastpage

4702

Abstract

This paper describes two new methods for continuous time system identification. The first method applies to restricted complexity systems and allows a model estimation. The second method applies to high order systems and allows a error quantification. The mutual point of both methods is the use of high order models and orthogonal basis functions.

Keywords

continuous time systems; estimation theory; identification; complexity systems; continuous time system identification; error quantification; high order systems; model estimation; orthogonal basis functions; orthonormal functions; Complexity theory; Covariance matrices; Estimation; Frequency-domain analysis; Mathematical model; Stochastic processes; Transfer functions; Continuous time; Error quantification; Model estimation; Orthonormal basis functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1999 European

Conference_Location

Karlsruhe

Print_ISBN

978-3-9524173-5-5

Type

conf

Filename

7100077

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=707131