DocumentCode
1347497
Title
Array algorithms for H∞ estimation
Author
Hassibi, Babak ; Kailath, Thomas ; Sayed, Ali H.
Author_Institution
Inf. Syst. Lab., Stanford Univ., CA, USA
Volume
45
Issue
4
fYear
2000
fDate
4/1/2000 12:00:00 AM
Firstpage
702
Lastpage
706
Abstract
We develop array algorithms for H∞ filtering. These algorithms can be regarded as the Krein space generalizations of H 2 array algorithms, which are currently the preferred method fur implementing H2 filters. The array algorithms considered include two main families: square-root array algorithms, which are typically numerically more stable than conventional ones, and fast array algorithms which, when the system is time-invariant, typically offer an order of magnitude reduction in the computational effort. Both have the interesting feature that one does not need to explicitly check for the positivity conditions required for the existence of H∞ filters, as these conditions are built into the algorithms themselves. However, since H∞ square-root algorithms predominantly use J-unitary transformations, rather than the unitary transformations required in the H2 case, further investigation is needed to determine the numerical behavior of such algorithms
Keywords
estimation theory; filtering theory; H∞ estimation; H∞ filtering; H∞ square-root algorithms; H2 array algorithms; J-unitary transformations; Krein space generalizations; fast array algorithms; positivity conditions; square-root array algorithms; Filtering; Hilbert space; Information systems; Kalman filters; Random variables; Recursive estimation; Riccati equations; Robustness; State estimation; Uncertainty;
fLanguage
English
Journal_Title
Automatic Control, IEEE Transactions on
Publisher
ieee
ISSN
0018-9286
Type
jour
DOI
10.1109/9.847105
Filename
847105
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