This paper deals with the problem of identifying the mathematical model of a dry-clutch transmission system, from input-output data experimentally collected on a real vehicle. The proposed identification procedure is based on a set-membership identification approach, where a-priori information on the structure of the physical model are taken into account in the selection of the model class. Parameter uncertainty intervals and the Chebyshev center of the feasible parameter set are computed by applying suitable convex relaxation schemes. The quality of the obtained model is tested on several validation data sets.

العنوان

2017 IEEE Conference on Control Technology and Applications (CCTA)

الناشر

IEEE

بلد الناشر

الولايات المتحدة الأمريكية

Indexing

Scopus

معامل التأثير

None

نوع المنشور

إلكتروني فقط

المجلد

--

السنة

--

الصفحات

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