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Identification of general linear mechanical systemsPrevious work in identification theory has been concerned with the general first order time derivative form. Linear mechanical systems, a large and important class, naturally have a second order form. This paper utilizes this additional structural information for the purpose of identification. A realization is obtained from input-output data, and then knowledge of the system input, output, and inertia matrices is used to determine a set of linear equations whereby we identify the remaining unknown system matrices. Necessary and sufficient conditions on the number, type and placement of sensors and actuators are given which guarantee identificability, and less stringent conditions are given which guarantee generic identifiability. Both a priori identifiability and a posteriori identifiability are considered, i.e., identifiability being insured prior to obtaining data, and identifiability being assured with a given data set.
Document ID
19840042736
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Sirlin, S. W.
(Columbia Univ. New York, NY, United States)
Longman, R. W.
(Columbia University New York, NY, United States)
Juang, J. N.
(NASA Langley Research Center Hampton, VA, United States)
Date Acquired
August 12, 2013
Publication Date
January 1, 1983
Subject Category
Cybernetics
Accession Number
84A25523
Funding Number(s)
CONTRACT_GRANT: NSF CEE-80-19275
Distribution Limits
Public
Copyright
Other

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