Scilab Function
Last update : 23/10/2007
sskf - steady-state Kalman filter
Calling Sequence
-
[xe,pe]=sskf(y,f,h,q,r,x0)
Parameters
-
y
: data in form
[y0,y1,...,yn]
,
yk
a column vector
-
f
: system matrix dim(NxN)
-
h
: observations matrix dim(MxN)
-
q
: dynamics noise matrix dim(NxN)
-
r
: observations noise matrix dim(MxM)
-
x0
: initial state estimate
-
xe
: estimated state
-
pe
: steady-state error covariance
Description
steady-state Kalman filter
Author
C. B.