Special Issue "Data-Driven Modelling of Nonlinear Dynamic Systems"
A special issue of Vibration (ISSN 2571-631X).
Deadline for manuscript submissions: closed (30 November 2020) | Viewed by 14864
Interests: nonlinear data-driven modelling; nonlinear system identification; nonlinear dynamics; machine learning; nonlinear model-based control; mechanical engineering; mechanical vibrations
The data-driven modelling of nonlinear dynamic systems, also known as nonlinear system identification, is a science and engineering field that is progressing incredibly quickly. The reasons for this flourishing state are certainly multifaceted, but it might be argued that two facts have recently acted as major catalysts. First, over the past few years there has been a growing and convergent need across many high-tech engineering sectors for a new generation of modelling tools that can deal with nonlinear dynamic behaviours. Second, a synergy of means has emerged amongst the vast array of scientific communities interested in solving the fundamental issues associated with nonlinear data-driven modelling, further contributing to consolidating research efforts in the field.
This Special Issue of Vibration intends to provide an up-to-date snapshot of the most exciting and popular research trends in the field. A non-exhaustive list of subjects of interest could be formulated as follows:
- Input design for nonlinear data-driven modelling.
- Nonparametric data analysis towards model structure selection.
- Machine learning mappings in nonlinear data-driven modelling.
- Uncertainty quantification in nonlinear data-driven modelling.
- Analysis, reduction and interpretation of nonlinear data-driven models.
- Nonlinear model-based control.
- Nonlinear model-based design.
- Complex real-life applications.
Dr. Jean-Philippe Noël
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Vibration is an international peer-reviewed open access quarterly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- data-driven modelling
- system identification
- experimental data
- dynamic systems
- nonlinear vibrations