Mercurial > forge
changeset 6711:fd92006d6f07 octave-forge
control-oo: texinfo cosmetics
author | paramaniac |
---|---|
date | Mon, 15 Feb 2010 09:19:06 +0000 |
parents | bef8870c47f1 |
children | c1b299dccb42 |
files | extra/control-oo/inst/kalman.m |
diffstat | 1 files changed, 9 insertions(+), 7 deletions(-) [+] |
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--- a/extra/control-oo/inst/kalman.m Mon Feb 15 08:08:22 2010 +0000 +++ b/extra/control-oo/inst/kalman.m Mon Feb 15 09:19:06 2010 +0000 @@ -18,6 +18,7 @@ ## -*- texinfo -*- ## @deftypefn {Function File} {[@var{est}, @var{g}, @var{x}] =} kalman (@var{sys}, @var{q}, @var{r}) ## @deftypefnx {Function File} {[@var{est}, @var{g}, @var{x}] =} kalman (@var{sys}, @var{q}, @var{r}, @var{s}) +## @deftypefnx {Function File} {[@var{est}, @var{g}, @var{x}] =} kalman (@var{sys}, @var{q}, @var{r}, @var{[]}, @var{sensors}, @var{known}) ## @deftypefnx {Function File} {[@var{est}, @var{g}, @var{x}] =} kalman (@var{sys}, @var{q}, @var{r}, @var{s}, @var{sensors}, @var{known}) ## Design Kalman estimator for LTI systems. ## @@ -25,9 +26,9 @@ ## @group ## u +-------+ ^ ## +---------------------------->| |-------> y -## | +-------+ y | est | ^ -## u ----+--->| |------>O------->| |-------> x -## | sys | ^ +-------+ +## | +-------+ + y | est | ^ +## u ----+--->| |----->(+)------>| |-------> x +## | sys | ^ + +-------+ ## w -------->| | | ## +-------+ | v ## @@ -44,17 +45,18 @@ ## @item R ## Covariance of white measurement noise. ## @item S -## Optional cross term covariance. +## Optional cross term covariance. Default value is S = 0. ## @item sensors -## Indices of measured output signals y from sys. +## Indices of measured output signals y from sys. If omitted, all outputs are measured. ## @item known -## Indices of known input signals u to sys. +## Indices of known input signals u (deterministic) to sys. All other inputs to sys +## are assumed stochastic. If argument known is omitted, no inputs u are known. ## @end table ## ## @strong{Outputs} ## @table @var ## @item est -## State-space model of the Kalman estimator +## State-space model of the Kalman estimator. ## @item G ## Estimator gain. ## @item X