Implementation of a Modelica Library for Smooth Spline Approximation

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.