DocumentCode
777896
Title
Polyspectral and cyclostationary approaches for identification of closed-loop systems
Author
Giannakis, Georgios B.
Author_Institution
Dept. of Electr. Eng., Virginia Univ., Charlottesville, VA, USA
Volume
40
Issue
5
fYear
1995
fDate
5/1/1995 12:00:00 AM
Firstpage
882
Lastpage
885
Abstract
Conventional spectral analysis fails in identifying systems operating with feedback from noisy input-output data. It is shown that polyspectral and cyclic methods can identify closed-loop systems with data corrupted by a class of stationary and cyclostationary noise. The class is specified and nonparametric transfer function estimators are developed and simulated
Keywords
closed loop systems; feedback; identification; noise; nonparametric statistics; closed-loop systems; cyclic methods; cyclostationary noise; feedback; identification; noisy input-output data; nonparametric transfer function estimators; polyspectral method; stationary cyclostationary noise; Biological system modeling; Electrical equipment industry; Feedback control; Industrial control; Industrial economics; Product safety; Production; Spectral analysis; Stability; Transfer functions;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.384222
Filename
384222
Link To Document