Sensor-to-sensor identification of Hammerstein systems

Traditional system identification uses measurements of the inputs, but when these measurements are not available, alternative methods, such as blind identification, output-only identification, or operational modal analysis, must be used. Yet another method is sensor-to-sensor identification (S2SID),...

Full description

Saved in:
Bibliographic Details
Main Authors: Aljanaideh, K., Ali, A. A., Holzel, M. S., Kukreja, S. L., Bernstein, D. S.
Format: Conference Proceeding
Language:English
Subjects:
Aerodynamics
Finite impulse response filter
Least squares approximation
Markov processes
Noise
Random processes
Transfer functions
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Traditional system identification uses measurements of the inputs, but when these measurements are not available, alternative methods, such as blind identification, output-only identification, or operational modal analysis, must be used. Yet another method is sensor-to-sensor identification (S2SID), which estimates pseudo transfer functions whose inputs are outputs of the original system. A special case of S2SID is transmissibility identification. Since S2SID depends on cancellation of the input, this approach does not extend to nonlinear systems. However, in the present paper we show that, for the case of a two-output Hammerstein system, the least-squares estimate of the PTF is consistent, that is, asymptotically correct, despite the presence of the nonlinearities.
ISSN:0191-2216
DOI:10.1109/CDC.2012.6426385