DocumentCode :
307152
Title :
Filtering problem under unreliable sampling
Author :
Tanaka, Shunji ; Hagiwara, Tomomichi ; Araki, Mituhiko
Author_Institution :
Dept. of Electr. Eng., Kyoto Univ., Japan
Volume :
1
fYear :
1996
fDate :
11-13 Dec 1996
Firstpage :
124
Abstract :
In this paper we study the filtering problem under the assumption that the sampling is unreliable; i.e., some of the measurement data are not obtained at some sampling instants. The minimum-variance estimator is derived and its stability is studied in connection with the degree of the unreliability of the sampling
Keywords :
filtering theory; signal sampling; statistical analysis; uncertain systems; filtering; minimum-variance estimator; unreliable sampling; Argon; Covariance matrix; Digital control; Electric variables measurement; Filtering; Filters; Loss measurement; Sampling methods; Stability; State estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
Conference_Location :
Kobe
ISSN :
0191-2216
Print_ISBN :
0-7803-3590-2
Type :
conf
DOI :
10.1109/CDC.1996.574270
Filename :
574270
Link To Document :
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