Parameter Identification of Dynamic Models Using a Bayes Approach

Li Shu; Zhuo Jiashou; Ren Qingwen

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Article Navigation > Applied Mathematics and Mechanics > 2000 > 21(4): 402-408

Li Shu, Zhuo Jiashou, Ren Qingwen. Parameter Identification of Dynamic Models Using a Bayes Approach[J]. Applied Mathematics and Mechanics, 2000, 21(4): 402-408.

Citation:

Li Shu, Zhuo Jiashou, Ren Qingwen. Parameter Identification of Dynamic Models Using a Bayes Approach[J]. Applied Mathematics and Mechanics, 2000, 21(4): 402-408.

Citation:

Li Shu, Zhuo Jiashou, Ren Qingwen. Parameter Identification of Dynamic Models Using a Bayes Approach[J]. Applied Mathematics and Mechanics, 2000, 21(4): 402-408.

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Parameter Identification of Dynamic Models Using a Bayes Approach

1.
Institute of Aircraft Design, Beijing University of Aeronautics & Astronautics, Beijing 100083, P R China;
2.
Institute of Civil Engineering, Hehai University, Nanjing 201198, P R China

Received Date: 1998-12-01
Rev Recd Date: 1999-12-18
Publish Date: 2000-04-15

Abstract

Abstract

The Bayesian method of statistical analysis has been applied to the parameter identification problem.A method is presented to identify parameters of dynamic models with the Bayes estimators of measurement frequencies.This is based on the solution of an inverse generalized eigenvalue problem.The stochastic nature of test date is considered and a normal distribution is used for the measurement frequencies.An additional feature is that the engineer's confidence in the measurement frequencies is quantified and incorporated into the identification procedure.A numerical example demonstrates the efficiency of the method.
- parameter identification,
- dynamic models,
- Bayes estimators,
- inverse eigenvalue problem,
- prior distribution,
- posterior distribution

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References(8)

References

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