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
fDate :
5/1/1995 12:00:00 AM
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;
Journal_Title :
Automatic Control, IEEE Transactions on
