Abstract
The identification of a nonlinear model often involves a significant amount of user interaction. The proposed SADE evolutionary algorithm-based identification approach for block-structured systems reduces this user interaction to a minimum. This is illustrated in this paper for the Wiener-Hammerstein class of systems. On top of this, most of the assumptions and limitations on the considered Wiener-Hammerstein system class can be omitted compared to the popular BLA and correlation based approaches. The developed identification algorithm is applied on the 2009 Wiener-Hammerstein benchmark to illustrate its good performance.
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Acknowledgements
Maarten Schoukens would like to gratefully acknowledge the support of the Fund for Scientific Research (FWO), the Methusalem grant of the Flemish Government (METH-1), the IAP VII/19 DYSCO program, and the ERC advanced grant SNLSID under contract 320378.
Keith Worden would like to gratefully acknowledge the support of the UK Engineering and Physical Sciences Research Council (EPSRC) through grant reference numbers EP/J016942/1 and EP/K003836/2.
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Schoukens, M., Worden, K. (2017). Evolutionary Identification of Block-Structured Systems. In: Allen, M., Mayes, R., Rixen, D. (eds) Dynamics of Coupled Structures, Volume 4. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, Cham. https://doi.org/10.1007/978-3-319-54930-9_31
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DOI: https://doi.org/10.1007/978-3-319-54930-9_31
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