Array algorithms for H[infon] estimation

We develop array algorithms for H({infinity}) filtering. These algorithms can be regarded as the Krein space generalizations of H (2) array algorithms, which are currently the preferred method fur implementing H(2) filters. The array algorithms considered include two main families: square-root array...

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Bibliographic Details
Published in:IEEE transactions on automatic control Vol. 45; no. 4; pp. 702 - 706
Main Authors: Hassibi, B, Kailath, T, Sayed, A H
Format: Journal Article
Language:English
Published: New York The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 01.04.2000
ISSN:0018-9286, 1558-2523
Online Access:Get full text
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Summary:We develop array algorithms for H({infinity}) filtering. These algorithms can be regarded as the Krein space generalizations of H (2) array algorithms, which are currently the preferred method fur implementing H(2) 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({infinity}) filters, as these conditions are built into the algorithms themselves. However, since H({infinity}) square-root algorithms predominantly use J-unitary transformations, rather than the unitary transformations required in the H(2) case, further investigation is needed to determine the numerical behavior of such algorithms
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ISSN:0018-9286
1558-2523
DOI:10.1109/9.847105