Past, present and future of nonlinear system identification in structural dynamics
By Gaetan Kerschen, Keith Worden, Alexander F. Vakakis, Jean-Claude Golinval. 2006
1,182 citations recorded by the source corpus.
Subfields: Civil and Structural Engineering, Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/9389c475580263bfb348a0f1324d6e21a934fc8d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Civil and Structural Engineering
- Lawrence A. Bergman
- D. Michael McFarland
- Alexander F. Vakakis
- Young Sup Lee
- Lennart Ljung
- Stylianos Tsakirtzis
- L. Clare
- S. Burrow
In Control and Systems Engineering
- Lennart Ljung
- Stylianos Tsakirtzis
- D. Michael McFarland
- Johan Schoukens
- Lawrence A. Bergman
- Alexander F. Vakakis
- Young Sup Lee
- David A W Barton
In Mechanical Engineering
Citations in the corpus
- Nonlinear System Identification: A User-Oriented Road Map (2019, background): “However, the output of nonlinear NIIR systems can also show bifurcations and jump phenomena (small variations at the input can result in sudden qualitative or topological changes in the output), even for systems with smooth nonlinearities [8], [16], [17], [27].”
- Physics-guided Convolutional Neural Network (PhyCNN) for Data-driven Seismic Response Modeling (2019, neutral): “A comprehensive review of works on system identification and its applications in structural response modeling was given in [19–21].”
- A time-domain nonlinear system identification method based on multiscale dynamic partitions (2011, methodology): “Nonlinear SI techniques are often classified as time- or frequency-domain methods; a recent survey of current methods of nonlinear SI was carried out in Kerschen et al. [ 5 ].”