Design Kalman estimator for LTI systems.
Inputs
Nominal plant model.
Covariance of white process noise.
Covariance of white measurement noise.
Optional cross term covariance. Default value is 0.
Indices of measured output signals y from sys. If omitted, all outputs are measured.
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.
Outputs
State-space model of the Kalman estimator.
Estimator gain.
Solution of the Riccati equation.
Block Diagram
u +-------+ ^ +---------------------------->| |-------> y | +-------+ + y | est | ^ u ----+--->| |----->(+)------>| |-------> x | sys | ^ + +-------+ w -------->| | | +-------+ |v Q = cov (w, w') R = cov (v, v') S = cov (w, v')
See also: care, dare, estim, lqr.
Package: control