Path: Common/Estimation
-------------------------------------------------------------------------- Extended Kalman Filter prediction step. Since Version 11. -------------------------------------------------------------------------- Form: d = EKFPredict( d ) -------------------------------------------------------------------------- ------ 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 --------------------------------------------------------------------------
Math: Integration/RK4
Back to the Common Module page