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Continuous-time nonlinear systems identification with output error method based on derivative-free optimisation

Brunot, Mathieu and Janot, Alexandre and Carrillo, Francisco Javier Continuous-time nonlinear systems identification with output error method based on derivative-free optimisation. (2017) In: IFAC World Congress 2017, 9 July 2017 - 14 July 2017 (Toulouse, France).

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Official URL: https://www.ifac2017.org/

Abstract

The purpose of this study is to tackle the nonlinear system identification benchmarks proposed by (Schoukens and Noël, 2016). Two of the three benchmarks are considered, namely the cascaded tanks setup and the Bouc-Wen hysteretic system. Our approach is an output error method based on continuous time models. Due to the nonlinearities, the derivatives of the output with respect to the parameters are not defined everywhere. We compare the performance of two derivative-free optimisation solvers: the Nelder-Mead simplex and the NOMAD algorithm. Both are available in the OPTI Toolbox. The results suggest that the method is appropriate for those systems. However, it is not possible to discriminate between both optimisation solvers.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to Elsevier editor. The definitive version is available at : http://www.sciencedirect.com/science/journal/24058963?sdc=1
HAL Id:hal-01635643
Audience (conference):International conference proceedings
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Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Office National d'Etudes et Recherches Aérospatiales - ONERA (FRANCE)
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Deposited On:14 Sep 2017 15:15

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