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Physical Parameter Estimation from State-Space Models for Systems with Missing Input Information
In this article, the transformation of linear first-order models to second-order models is investigated for cases in which the system is excited by unknown inputs and ground excitations. It is shown that the second-order coefficients lie in the null space of a matrix, which is constructed from the partitions of the state matrix using the Kronecker product. The conditions that determine the size of this null space are discussed and solutions are developed for various cases.
Physical Parameter Estimation from State-Space Models for Systems with Missing Input Information
In this article, the transformation of linear first-order models to second-order models is investigated for cases in which the system is excited by unknown inputs and ground excitations. It is shown that the second-order coefficients lie in the null space of a matrix, which is constructed from the partitions of the state matrix using the Kronecker product. The conditions that determine the size of this null space are discussed and solutions are developed for various cases.
Physical Parameter Estimation from State-Space Models for Systems with Missing Input Information
Luş, Hilmi (Autor:in)
Journal of Engineering Mechanics ; 138 ; 1402-1410
11.04.2012
92012-01-01 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Physical Parameter Estimation from State-Space Models for Systems with Missing Input Information
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