Polyspectral and Cyclostationary Approaches for Identification of Closed-Loop Systems

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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 languageEnglish (US)
Pages (from-to)882-885
Number of pages4
JournalIEEE Transactions on Automatic Control
Volume40
Issue number5
DOIs
StatePublished - 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.

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