Identification of dynamic systems from noisy data: Single factor case
نویسندگان
چکیده
Abshsct Lineardvnamicerrors-in-~ariables~~rfaUor~moddsintheframework of stationary proceareo arc wnsidercd The noise pronss is a~rumed to havc a diagonal srwl~al density. Weanaka the relation betwcen thc (population) socund momentsofthe observakonsandthesystemandnoisecharact&ti(S; ofp.&& interest are the number of equations (or the number of factors) and a dwription of the set of all systems mmGtible with thssecandmo-ts i f the observations In this paper emphasis is put on the case which oo be reduced to a single factor. Tbe problems mnsidered arise in the context of identification and noise modeling. -.
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عنوان ژورنال:
- MCSS
دوره 6 شماره
صفحات -
تاریخ انتشار 1993