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Weakly nonlinear second-order dynamical systems identification using a random parameters linear model
Abstract : The objective of this paper is to present an identification procedure which is based on the use of a stochastic linearization method with random coefficients. The model is then defined as a multidimensional linear second-order dynamical system with random coefficients. An optimization procedure is developed to identify the parameters of the probability law of the random coefficients. The identification procedure is described step by step. Finally, an example is presented and shows the interest of the method proposed.
Cited literature [10 references]
https://hal-upec-upem.archives-ouvertes.fr/hal-00770028
Contributor : Christian Soize Connect in order to contact the contributor
Submitted on : Friday, January 4, 2013 - 11:34:58 AM
Last modification on : Tuesday, March 16, 2021 - 3:42:04 PM
Long-term archiving on: : Friday, March 31, 2017 - 10:53:30 PM
Contributor : Christian Soize Connect in order to contact the contributor
Submitted on : Friday, January 4, 2013 - 11:34:58 AM
Last modification on : Tuesday, March 16, 2021 - 3:42:04 PM
Long-term archiving on: : Friday, March 31, 2017 - 10:53:30 PM
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