(1) Institute of Aircraft Design, Beijing University of Aeronautics & Astronautics, 100083 Beijing, P R China;(2) Institute of Civil Engineering, Hehai University, 210098 Nanjing, P R China
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 data 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.