EKFPredict:

Path: Common/Estimation

% Extended Kalman Filter prediction step.

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   Form:
   d = EKFPredict( d )
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   ------
   Inputs
   ------
   d	(1,1)  EKF data structure
              .m       (n,1)       Mean
              .p       (n,n)       Covariance
              .q       (n,n)       State noise
              .f       (1,:)       Name of right hand side
              .fX      (1,:)       Jacobian of right hand side
              .fData   (1,1)       Data structure with data for f
              .dT      (1,1)       Time step
              .t       (1,1)       Time

   -------
   Outputs
   -------
   d	(1,1)  EKF data structure

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Children:

Math: Integration/RK4

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