The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/12967592

Noël, Jean-Philippe; Schoukens, Maarten (2020): Hysteretic Benchmark with a Dynamic Nonlinearity. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/12967592.v1

Dataset

• Artificial Intelligence and Image Processing
• Mechanical Engineering
• Electrical and Electronic Engineering
• Other Engineering

Bouc-Wen, Dynamical System, Hysteresis, Machine Learning, Nonlinear System, Simulator, System Identification, Time-Series

CC BY-SA 4.0

RefWorks, BibTeX, Reference Manager, Endnote, DataCite, NLM, DC, CFF

by Jean-Philippe Noël , Maarten Schoukens

Hysteresis is a dynamic nonlinearity commonly encountered in very diverse engineering and science disciplines, ranging from solid mechanics, electromagnetism and aerodynamics to biology, ecology and psychology. In particular, the Bouc-Wen model has been intensively exploited during the last decades to represent hysteretic effects in mechanical engineering, especially in the case of random vibrations.
It is proposed as a benchmark problem to identify a Bouc-Wen system based on synthetic input-output data time-series. A detailed formulation of the identification problem can be downloaded here. All the provided files and information on the Bouc-Wen system are available for download. The zip-file contains a detailed system description with a signal generation guide and the test data sets. This benchmark requires MATLAB to run.

• 2020-09-21 first online, published, posted

4TU.ResearchData

.mat

Three Benchmarks Addressing Open Challenges in Nonlinear System Identification

• https://doi.org/10.1016/j.ifacol.2017.08.071

Eindhoven University of Technology, Department of Electrical Engineering, Control System group