DocumentCode :
1343588
Title :
Optimal filtering for systems with unknown inputs
Author :
Hou, M. ; Patton, R.J.
Author_Institution :
Dept. of Electron. Eng., Hull Univ., UK
Volume :
43
Issue :
3
fYear :
1998
fDate :
3/1/1998 12:00:00 AM
Firstpage :
445
Lastpage :
449
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;
fLanguage :
English
Journal_Title :
Automatic Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9286
Type :
jour
DOI :
10.1109/9.661621
Filename :
661621
Link To Document :
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