Model Parameter Estimation by Using the Ensemble Kalman Filter

—Application to Nonlinear Complex Structure System with Large Deformation—

Abstract

An effective parameter estimation method of nonlinear structure systems is presented. In the method, uncertain structural parameters contained in numerical models are estimated by using the ensemble Kalman filter, which can automatically provide optimum estimations of system state variables while assimilating the numerical model with the experimental data. A numerical example of a deployable structure system, which is highly nonlinear one, is provided to verify the effectiveness of the presented method.