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Identification for control : deterministic algorithms and error bounds

This dissertation deals with frequency domain identification of linear dynamic systems in a deterministic set-up. Various untuned algorithms are suggested, including one which is robustly convergent and asymptotically optimal (in n-width sense) for a finite model order. The suggested algorithms can easily be implemented in commercially available software for convex optimization.

Identiferoai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:557669
Date January 2000
CreatorsDate, Paresh
ContributorsVinnicombe, G.
PublisherUniversity of Cambridge
Source SetsEthos UK
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation
Sourcehttps://www.repository.cam.ac.uk/handle/1810/251751

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