Identifying a nonlinear dynamic systems' governing equation is crucial for many engineering
applications, and yet a challenging task. In this study, the system's dynamics are …

A crucial challenge encountered in diverse areas of engineering applications involves
speculating the governing equations based upon partial observations. On this basis, a …

Extended Kalman filtering with unknown input (EKF-UI) is often used to estimate the
structural system state, parameters and unknown input in structural health monitoring …

This article proposes a nonparametric system identification technique to discover the
governing equation of nonlinear dynamic systems with the focus on practical aspects. The …

This paper proposes a novel nonlinear dynamical system identification method based on the
sparse regression algorithm and the separable least squares method. To effectively avoid …

Many real world systems exhibit a quasi linear or weakly nonlinear behavior during normal
operation, and a hard saturation effect for high peaks of the input signal. In this paper, a …

Featured Application The dual adaptive filter proposed in this paper can identify sudden
change in structural systems under dynamic excitations. The proposed filter method …

Structural and mechanical system identification under dynamic loading has been an
important research topic over the last three or four decades. Many Kalman-filtering-based …

A huge class of nonlinear dynamic systems can be approximated by the Nonlinear
AutoRegressive with eXogenous inputs (NARX) models. This paper proposes a novel …

In recent years, identification of nonlinear dynamical systems from data has become
increasingly popular. Sparse regression approaches, such as sparse identification of …