We present an adaptive method that allows to control or synchronize ch
aotic systems to a goal behavior in presence of large additive noise.
The method is based on a state-parameter estimator, the Kalman filter,
and requires the previous knowledge of the system dynamics. We show t
he robustness of the procedure in the presence of large noise both in
discrete and continuous systems.