DERIVING A DYNAMIC-SYSTEM EIGENVALUE SPECTRUM UNDER CONDITIONS OF UNCERTAINTY BY PROCESSING MEASUREMENTS

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Abstract

A method is given for determining the eigenvalue spectrum of a linear dynamic system under conditions of uncertainty. A method is described for deriving the characteristic parameters by analysis of measurement data that provide preliminary evaluations of the spectrum. An adaptive identification algorithm is proposed to refine the estimators. The task is handled in the class of static models.

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