Documentation corrections for outputs

[modules/adao.git] / src / daComposant / daAlgorithms / KalmanFilter.py

diff --git a/src/daComposant/daAlgorithms/KalmanFilter.py b/src/daComposant/daAlgorithms/KalmanFilter.py
index b9f4d5c94f5252fc292d799f515ca5a62a492134..cc267e5a8965dbb8fa5ee2804dbb5e2957ae2d84 100644 (file)
--- a/src/daComposant/daAlgorithms/KalmanFilter.py
+++ b/src/daComposant/daAlgorithms/KalmanFilter.py
@@ -1,6 +1,6 @@
 #-*-coding:iso-8859-1-*-
 #
-#  Copyright (C) 2008-2014 EDF R&D
+#  Copyright (C) 2008-2015 EDF R&D
 #
 #  This library is free software; you can redistribute it and/or
 #  modify it under the terms of the GNU Lesser General Public
@@ -46,7 +46,7 @@ class ElementaryAlgorithm(BasicObjects.Algorithm):
             default  = [],
             typecast = tuple,
             message  = "Liste de calculs supplémentaires à stocker et/ou effectuer",
-            listval  = ["APosterioriCovariance", "BMA", "Innovation"]
+            listval  = ["APosterioriCovariance", "BMA", "CurrentState", "CostFunctionJ", "Innovation"]
             )
 
     def run(self, Xb=None, Y=None, U=None, HO=None, EM=None, CM=None, R=None, B=None, Q=None, Parameters=None):
@@ -78,8 +78,8 @@ class ElementaryAlgorithm(BasicObjects.Algorithm):
         else:
             Cm = None
         #
-        # Nombre de pas du Kalman identique au nombre de pas d'observations
-        # -----------------------------------------------------------------
+        # Nombre de pas identique au nombre de pas d'observations
+        # -------------------------------------------------------
         if hasattr(Y,"stepnumber"):
             duration = Y.stepnumber()
         else:
@@ -150,7 +150,8 @@ class ElementaryAlgorithm(BasicObjects.Algorithm):
                 Jb  = 0.5 * (Xn - Xb).T * BI * (Xn - Xb)
                 Jo  = 0.5 * d.T * RI * d
                 J   = float( Jb ) + float( Jo )
-                self.StoredVariables["CurrentState"].store( Xn )
+                if self._parameters["StoreInternalVariables"] or "CurrentState" in self._parameters["StoreSupplementaryCalculations"]:
+                    self.StoredVariables["CurrentState"].store( Xn )
                 self.StoredVariables["CostFunctionJb"].store( Jb )
                 self.StoredVariables["CostFunctionJo"].store( Jo )
                 self.StoredVariables["CostFunctionJ" ].store( J )