Frequency domain identification of processes with output drift

Author

Flower, J.O. ; McCormack, A.S. ; Godfrey, K.R. ; Porch, H.R.

Author_Institution

Dept. of Eng., Warwick Univ., Coventry, UK

fYear

1993

fDate

18-20 May 1993

Firstpage

252

Lastpage

257

Abstract

The identification of linear system dynamics from measurements corrupted by low frequency aperiodic noise is discussed. It is shown that by considering the low frequency harmonic content of the disturbing noise, accurate elimination of the disturbance can be achieved for typical linear/nonlinear trend characteristics. Methods are discussed for dealing with the transient response of systems to periodic input signals when the identification time is an important issue

Keywords

frequency-domain analysis; harmonic analysis; harmonic distortion; identification; interference suppression; interpolation; linear systems; matrix algebra; measurement; measurement theory; noise; signal processing; transient response; disturbance; disturbing noise; identification; linear system dynamics; linear/nonlinear trend characteristics; low frequency aperiodic noise; low frequency harmonic content; measurements; output drift; periodic input signals; transient response; Control system synthesis; Fourier transforms; Frequency domain analysis; Frequency measurement; Linear systems; Low-frequency noise; Noise measurement; Nonlinear dynamical systems; Signal processing; Transient response;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation and Measurement Technology Conference, 1993. IMTC/93. Conference Record., IEEE

Conference_Location

Irvine, CA

Print_ISBN

0-7803-1229-5

Type

conf

DOI

10.1109/IMTC.1993.382640

Filename

382640