1992 American Control Conference 1992
DOI: 10.23919/acc.1992.4792438
|View full text |Cite
|
Sign up to set email alerts
|

Reduced order filtering in an H setting

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

1997
1997
2008
2008

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 11 publications
(2 citation statements)
references
References 3 publications
0
2
0
Order By: Relevance
“…The problem of H 1 filtering has been widely studied in the full order case (Shaked 1990, Nagpal and Khargonekar 1991, Shaked and Theodor 1992 and even in the reduced order one (Kim et al 1992, Grigoriadis and Watson 1997, Watson and Grigoriadis 1998. The advantage of the H 1 filtering is that it does not require any knowledge on the statiscal properties of the disturbances, they must only be on finite energy.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…The problem of H 1 filtering has been widely studied in the full order case (Shaked 1990, Nagpal and Khargonekar 1991, Shaked and Theodor 1992 and even in the reduced order one (Kim et al 1992, Grigoriadis and Watson 1997, Watson and Grigoriadis 1998. The advantage of the H 1 filtering is that it does not require any knowledge on the statiscal properties of the disturbances, they must only be on finite energy.…”
Section: Introductionmentioning
confidence: 99%
“…IQC are shown to describe these types of uncertainties in numerous papers well, notably for signal processing applications (Xie et al 1998). Due to computational or real-time implementation reasons, reduced order filter should be prefered to the full order one, specially in practical applications for large scale systems (Nagpal et al 1987, Kim et al 1992, Watson and Grigoriadis 1998.…”
Section: Introductionmentioning
confidence: 99%