System reduction via truncated Hankel matrices |
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Authors: | Charles K Chui Xin Li Joseph D Ward |
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Affiliation: | (1) Department of Electrical Engineering, Texas A&M University, 77843 College Station, Texas, U.S.A.;(2) Department of Mathematics, Texas A&M University, 77843 College Station, Texas, U.S.A. |
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Abstract: | The problem of approximating Hankel operators of finite or infinite rank by lower-rank Hankel operators is considered. For
efficiency, truncated Hankel matrices are used as the intermediate step before other existing algorithms such as theCF algorithms are applied to yield the desirable approximants. If the Hankel operator to be approximated is of finite rank,
the order of approximation by truncated Hankel operators is obtained. It is also shown that when themths-number is simple, then rational symbols of the best rank-m Hankel approximants of thenth truncated Hankel matrices converge uniformly to the corresponding rational symbol of the best rank-m Hankel approximant of the original Hankel operator asn tends to infinity.
Supported by SDIO/IST managed by the U.S. Army under Contract No. DAAL03-87-K-0025 and also supported by the National Science
Foundation under Grant No. DMS 8602337.
Supported by SDIO/IST managed by the U.S. Army under Contract No. DAAL03-87-K-0025.
Supported by the National Science Foundation under Grant No. DMS 8602337. |
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Keywords: | Hankel norm Rational approximation Order of approximation Reduced-order models |
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