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| Azevedo, Nuno Monteiro |
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Schoukens, Johan
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Publications (6/6 displayed)
- 2021One-bit System Identificationcitations
- 2017NONLINEAR SYSTEM IDENTIFICATION: FINDING STRUCTURE IN NONLINEAR BLACK-BOX MODELS
- 2016Orbital component extraction by time-variant sinusoidal modeling
- 2013Three free data sets for development and benchmarking in nonlinear system identification
- 2007Practical aspects of continuous-time modelling from noisy observations
- 2004Electrochemical impedance spectroscopy in the presence of non-linear distortions and non-stationary behaviour Part I: theory and validation
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document
Three free data sets for development and benchmarking in nonlinear system identification
Abstract
System identification is a fundamentally experimental field of science in that it deals with modeling of system dynamics using measured data. Despite this fact many algorithmsandtheoretical results are only tested with simulations at the time of publication. One reason for this may be a lack of easily available live data. This paper therefore presents three sets of data, suitable for development, testing and benchmarking of system identification algorithms for nonlinear systems. The data sets are collected from laboratory processes that can be described by block - oriented dynamic models, and by more general nonlinear difference and differential equation models. All data sets are available for free download.