function estimateBase extends Modelica.Icons.Function; import Modelica; import Modelica_LinearSystems2; input Modelica_LinearSystems2.DiscreteStateSpace.Internal.hBase yOut; input Real y[:] "Measured output vector"; input Real xm[:] "Predicted state mean"; input Real ym[size(y, 1)] "Predicted output mean"; input Real u[:] "Input"; input Real P[size(xm, 1), size(xm, 1)] "Covariance matrix"; input Real Ryy[size(y, 1), size(Ryy, 1)] "Transformed covariance matrix"; input Real Rxy[size(xm, 1), size(y, 1)] "Transformed cross covariance matrix"; input Modelica.Units.SI.Time Ts "Sample time"; output Real K[size(xm, 1), size(y, 1)] "Filter gain"; output Real Pu[size(xm, 1), size(xm, 1)] "Updated State covariance matrix"; output Real xmu[size(xm, 1)] "Updated state mean"; output Real ymu[size(y, 1)] "Updated output mean"; end estimateBase;