Identification of continuous-time systems with missing data

Author

Pintelon, R. ; Schoukens, J.

Author_Institution

Dept. ELEC, Vrije Univ., Brussels, Belgium

Volume

2

fYear

1999

fDate

1999

Firstpage

1081

Abstract

This paper treats the identification of continuous-time systems with missing data in the input and output signals. A frequency domain solution based on an extended transfer function model is given. The basic idea of the approach is to treat the missing data as unknown parameters in the identification problem. No particular pattern for the missing data is assumed. The method is illustrated on simulation and real measurement examples

Keywords

Newton method; bandlimited signals; continuous time systems; discrete Fourier transforms; frequency-domain analysis; identification; measurement theory; modelling; signal sampling; transfer functions; arbitrary signals; bandlimited measurements; continuous-time systems; extended transfer function model; frequency domain solution; identification; missing data; real measurement; simulation; unknown parameters; Discrete Fourier transforms; Equations; Frequency domain analysis; Laboratories; Polynomials; Sampling methods; Signal processing; System identification; Time series analysis; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE

Conference_Location

Venice

ISSN

1091-5281

Print_ISBN

0-7803-5276-9

Type

conf

DOI

10.1109/IMTC.1999.777025

Filename

777025