The extended Kalman filter is applied to system identification problems of seismic structural
systems. In order to obtain the stable and convergent solutions, a weighted global iteration …

The performance of a weighted global iteration for the extended Kaiman filter was evaluated
in this study. The problem is to identify the parameters of a hysteretic SDOF system defined …

The extended Kalman filter, which is essentially a method of sequential least-squares
estimation, has been applied not only for dynamic parameter identification but also for static …

Over the past few decades, structural system identification based on vibration
measurements has attracted much attention in the structural dynamics field. The well‐known …

Structural system identification has attracted much attention in the structural dynamics field
over the past decades. The unscented Kalman filter (UKF) is often used to deal with …

A time domain system identification technique is proposed to estimate the stiffness and
damping parameters, at the element level, of a structure excited by unknown or unmeasured …

An extended Kalman filter (EKF) approach is adopted in this paper for structural systems
subject to dynamic loadings to simultaneously estimate the state and calibrate constitutive …

The unscented Kalman filter (UKF) has proven to be an effective approach for the
identification of nonlinear systems from limited output measurements. However, the …

By adding the function of memory fading for past observation data to the H∞ filter, the
adaptive H∞ filter was developed for identifying structural systems with nonstationary …

This paper deals with the identification of the parameters of a smoothed hysteretic model
which was proposed by Bouc and Wen with emphasis on restoring force hysteresis. The …