In this paper, an evolutionary‐based sparse regression algorithm is proposed and applied
onto experimental data collected from a Duffing oscillator setup and numerical simulation …

In this paper we aim to apply an adaptation of the recently developed technique of sparse
identification of nonlinear dynamical systems on a Duffing experimental setup with cubic …

In recent years, the rapid growth of computing technology has enabled identifying
mathematical models for vibration systems using measurement data instead of domain …

The identification of the nonlinear governing equations of a single degree of freedom
oscillator under harmonic excitation, including Coulomb friction damping, is investigated …

Many of the proposed approaches for non-linear systems control are developed under the
assumption that all involved parameters are known in advance. Unfortunately, their …

In the field of science and engineering, identifying the nonlinear dynamics of systems from
data is a significant yet challenging task. In practice, the collected data are often …

Data-driven identification of nonlinear differential equations turns out to be an inefficient, and
sometimes even impossible, for high-dimensional randomly vibrating systems. The …

Data driven model identification methods have grown increasingly popular due to
enhancements in measuring devices and data mining. They provide a useful approach for …

Vibration‐assisted swing cutting (VASC) is a new precision machining technology. VASC
not only inherits the characteristics of EVC intermittent cutting but also alleviates the problem …

The design of bistable structures is a hot topic in the last decade due to its wide application
in smart actuators, energy harvesters, flexible robotics, etc. The characterization of the …