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.
Original language | English (US) |
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Pages (from-to) | 882-885 |
Number of pages | 4 |
Journal | IEEE Transactions on Automatic Control |
Volume | 40 |
Issue number | 5 |
DOIs | |
State | Published - May 1995 |
Bibliographical note
Funding Information:Manuscript received April 1, 1994. This work was supported in part by ONR Grant NOOO14-93-1-0485, The author is with the Department of Electrical Engineering, University of Viginia, Charlottesville, VA 22903-2442 USA. IEEE Log Number 9408790.