A review of dam** models for structures with mechanical joints
In a standard design practice, it is often necessary to assemble engineered structures from
individually manufactured parts. Ideally, the assembled system should perform as if the …
individually manufactured parts. Ideally, the assembled system should perform as if the …
Machine learning methods for spacecraft telemetry mining
Spacecrafts are critical systems that have to survive space environment effects. Due to its
complexity, these types of systems are designed in a way to mitigate errors and maneuver …
complexity, these types of systems are designed in a way to mitigate errors and maneuver …
Measurement and identification of the nonlinear dynamics of a jointed structure using full-field data, Part I: Measurement of nonlinear dynamics
Jointed structures are ubiquitous constituents of engineering systems; however, their
dynamic properties (eg, natural frequencies and dam** ratios) are challenging to identify …
dynamic properties (eg, natural frequencies and dam** ratios) are challenging to identify …
A phase resonance approach for modal testing of structures with nonlinear dissipation
The concept of nonlinear modes is useful for the dynamical characterization of nonlinear
mechanical systems. While efficient and broadly applicable methods are now available for …
mechanical systems. While efficient and broadly applicable methods are now available for …
An inverse identification strategy for the mechanical parameters of a phenomenological hysteretic constitutive model
An inverse strategy is developed for identifying the parameters of the hysteretic
phenomenological constitutive model presented in Vaiana et al.(2019) and belonging to a …
phenomenological constitutive model presented in Vaiana et al.(2019) and belonging to a …
[HTML][HTML] A generalization of the Valanis model for friction modelling
The complex dynamics of a frictional contact interface have been the subject of many
research investigations. However, a comprehensive model has not been proposed that can …
research investigations. However, a comprehensive model has not been proposed that can …
A data-driven nonlinear state-space model of the unsteady lift force on a pitching wing
Accurate unsteady aerodynamic models are essential to estimate the forces on rapidly
pitching wings and to develop model-based controllers. As system identification is arguably …
pitching wings and to develop model-based controllers. As system identification is arguably …
Three benchmarks addressing open challenges in nonlinear system identification
Nonlinear system identification is a fast evolving field of research with contributions from
different communities. It is not always straightforward to compare different models and …
different communities. It is not always straightforward to compare different models and …
Improved initialization of state-space artificial neural networks
M Schoukens - 2021 European Control Conference (ECC), 2021 - ieeexplore.ieee.org
The identification of black-box nonlinear statespace models requires a flexible
representation of the state and output equation. Artificial neural networks have proven to …
representation of the state and output equation. Artificial neural networks have proven to …
Frequency response based identification of nonlinear oscillators
T Breunung, B Balachandran - Journal of Sound and Vibration, 2025 - Elsevier
Experimental modal analysis is commonly used to identify models for the vibratory behavior
of structures. This is done by conducting a set of experiments to obtain the structure's …
of structures. This is done by conducting a set of experiments to obtain the structure's …