Title :
Optimal filtering for systems with unknown inputs
Author :
Hou, M. ; Patton, R.J.
Author_Institution :
Dept. of Electron. Eng., Hull Univ., UK
fDate :
3/1/1998 12:00:00 AM
Abstract :
An optimal filtering formula is derived for linear time-varying discrete systems with unknown inputs. By making use of the well-known innovations filtering technique, the derivation is an extension of a new observer design method for time-invariant deterministic systems with unknown inputs. The systems under consideration have the most general form. The derived optimal filter has a similar form to the standard Kalman filter with some modified covariance and gain matrices
Keywords :
covariance matrices; discrete systems; filtering theory; linear systems; observers; time-varying systems; covariance matrices; gain matrices; innovations filtering technique; linear time-varying discrete systems; optimal filtering; time-invariant deterministic systems; unknown inputs; Equations; Filtering; Linear algebra; Linear matrix inequalities; Linear systems; Lyapunov method; Milling machines; Nonlinear filters; Speech; Stability;
Journal_Title :
Automatic Control, IEEE Transactions on