Title :
Identification of continuous-time systems with missing data
Author :
Pintelon, R. ; Schoukens, J.
Author_Institution :
Dept. ELEC, Vrije Univ., Brussels, Belgium
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;
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
Print_ISBN :
0-7803-5276-9
DOI :
10.1109/IMTC.1999.777025
