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Implementation of a Modelica Library for Smooth Spline Approximation
Proceedings of the 7th International Modelica Conference, стр. 669--675. Linköpings universitet, Linköping University Electronic Press, (20-22 sep 2009)
DOI: 10.3384/ecp09430013
Аннотация
In system modeling, table data interpolation is frequently used for e.g. characteristic maps or as replacement of a complicated system. In many cases, the available data are noisy and of limited accuracy. It turns out, that data approximation is advantageous against data interpolation in these cases. A Modelica library for 1-D and 2-D spline approximation on basis of external functions is presented in this paper.
