Techniques for identifying and evaluating the physical parameters of nonlinear dynamic systems have been investigated A method has been developed for converting the measured dynamic response of a system into estimates of its unknown dissipation function. A computational algorithm employing an optimization or gradient search technique was written for determining the unknown system parameters. This procedure uses a least squares criterion function to determine the measure of agreement between the mathematical representation of the system and the physical system. A rather general statement of the nonlinear equation of motion allows a better final determination of the system than that provided by some fixed-form describing function. The technique is especially adaptable to the identification problem of determining the dissipation function of a nonlinear shock absorber.
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February 1972
This article was originally published in
Journal of Engineering for Industry
Research Papers
Application of Gradient Search Procedures for the Identification of Unknown System Parameters From System Response Observations
R. M. Laurenson,
R. M. Laurenson
McDonnell Douglas Astronautics Company, St. Louis, Mo.
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J. R. Baumgarten
J. R. Baumgarten
University of Nebraska, Lincoln, Neb.
Search for other works by this author on:
R. M. Laurenson
McDonnell Douglas Astronautics Company, St. Louis, Mo.
J. R. Baumgarten
University of Nebraska, Lincoln, Neb.
J. Eng. Ind. Feb 1972, 94(1): 109-114
Published Online: February 1, 1972
Article history
Received:
May 27, 1971
Online:
July 15, 2010
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Citation
Laurenson, R. M., and Baumgarten, J. R. (February 1, 1972). "Application of Gradient Search Procedures for the Identification of Unknown System Parameters From System Response Observations." ASME. J. Eng. Ind. February 1972; 94(1): 109–114. https://doi.org/10.1115/1.3428098
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