1990
DOI: 10.2208/jscej.1990.422_145
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Sensitivities of Parameters Due to Model Errors and Measurement Noises in Structural Identification Problems

Abstract: This paper deals with the development of sensitivities of structural parameter estimates with respect to model errors and measurement noises. Structural identification algorithm is normally developed based on the concept of least square method. Then the determination of parameters is treated as an optimization problem and the parameter estimates are an optimum solution of the problem. Hence the sensitivities of the parameters with respect to errors and noises can be formulated in the manner similar to sensitiv… Show more

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Cited by 10 publications
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“…where H l "*X H /* l . Substituting equation (12) into equation (11) and noting the relation of "R G ( K )"""H G ( K , X )", equation (11) can be rewritten as…”
Section: Derivation Of Formulasmentioning
confidence: 99%
“…where H l "*X H /* l . Substituting equation (12) into equation (11) and noting the relation of "R G ( K )"""H G ( K , X )", equation (11) can be rewritten as…”
Section: Derivation Of Formulasmentioning
confidence: 99%