Continuous-time system identification in the delta-domain using adjusted integration

Author

Kowalczuk, Z.

Author_Institution

Fac. of Electron., Tech. Univ. Gdansk, Poland

Volume

1

fYear

1996

fDate

1996

Firstpage

300

Abstract

The problem of generating regression vectors in discrete-time recursive estimation of continuous-time process parameters based on mixed, discrete-continuous models is considered. The normal integrating operator technique known in discrete approximation of continuous-time systems is utilized. Different (FIR and IIR) methods of “tempering” the characteristics of discrete-time integrators are proposed leading to an adjusted integration expressed in a delta operator form

Keywords

FIR filters; IIR filters; analogue simulation; digital simulation; filtering theory; identification; random noise; recursive estimation; signal representation; signal sampling; simulation; FIR; IIR; adjusted integration; continuous-time process parameters; continuous-time system identification; delta operator; delta-domain; discrete approximation; discrete-time integrators; discrete-time recursive estimation; mixed, discrete-continuous models; normal integrating operator; regression vectors; tempering; Finite impulse response filter; Frequency; IIR filters; Integral equations; Least squares approximation; Low pass filters; Parameter estimation; Recursive estimation; Sampling methods; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1996. IMTC-96. Conference Proceedings. Quality Measurements: The Indispensable Bridge between Theory and Reality., IEEE

Conference_Location

Brussels

Print_ISBN

0-7803-3312-8

Type

conf

DOI

10.1109/IMTC.1996.507396

Filename

507396