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SUMMARY:Hankel structured low rank matrix completion - Dr Ivan Markovsky (
 University of Southampton)
DTSTART:20111118T140000Z
DTEND:20111118T150000Z
UID:TALK33423@talks.cam.ac.uk
CONTACT:Dr Ioannis Lestas
DESCRIPTION:Hankel structured low rank matrices appear frequently in\nsyst
 ems and control problems. Well known examples are model reduction\nand sys
 tem identification (which correspond to Hankel structured low\nrank approx
 imation). In this talk\, we show that classical analysis and\nsynthesis pr
 oblems\, such as simulation\, prediction\, input estimation\,\nand output 
 tracking are special cases of a Hankel structured low rank\nmatrix complet
 ion problem. There is no computational advantage in\nsolving the special p
 roblems as a general matrix completion problem\,\nhowever\, the many-to-on
 e mapping has aesthetic appeal and reveals hidden\nrelations.
LOCATION: Cambridge University Engineering Department\, LR12
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