Scilab 5.3.3
- Aide Scilab
- Traitement du Signal
- How to
- fft
- Signal
- analpf
- bilt
- buttmag
- casc
- cepstrum
- cheb1mag
- cheb2mag
- chepol
- convol
- corr
- cspect
- czt
- detrend
- dft
- ell1mag
- eqfir
- eqiir
- faurre
- ffilt
- fft2
- fftshift
- filt_sinc
- filter
- find_freq
- findm
- frfit
- frmag
- fsfirlin
- group
- hank
- hilb
- hilbert
- iir
- iirgroup
- iirlp
- intdec
- jmat
- kalm
- lattn
- lattp
- lev
- levin
- lindquist
- mese
- mfft
- mrfit
- %asn
- %k
- %sn
- phc
- pspect
- remez
- remezb
- rpem
- sincd
- srfaur
- srkf
- sskf
- syredi
- system
- trans
- wfir
- wiener
- wigner
- window
- yulewalk
- zpbutt
- zpch1
- zpch2
- zpell
Please note that the recommended version of Scilab is 2026.0.0. This page might be outdated.
See the recommended documentation of this function
sskf
steady-state Kalman filter
Calling Sequence
[xe,pe]=sskf(y,f,h,q,r,x0)
Arguments
- y
data in form
[y0,y1,...,yn],yka 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
Authors
C. B.
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