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Identification of linear error-models with projected dynamical systems

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    SYSNO ASEP0360172
    Document TypeJ - Journal Article
    R&D Document TypeThe record was not marked in the RIV
    Subsidiary JČlánek ve WOS
    TitleIdentification of linear error-models with projected dynamical systems
    Author(s) Krejčí, Pavel (MU-W) RID, SAI, ORCID
    Kuhnen, K. (DE)
    Source TitleMathematical and Computer Modelling of Dynamical Systems - ISSN 1387-3954
    Roč. 10, č. 1 (2004), s. 59-91
    Number of pages33 s.
    Languageeng - English
    CountryNL - Netherlands
    Keywordsidentification ; error models ; projected dynamical systems
    Subject RIVBA - General Mathematics
    UT WOS000225687700004
    EID SCOPUS10244242476
    DOI10.1080/13873950412331318071
    AnnotationLinear error models are an integral part of several parameter identification methods for feedforward and feedback control systems and lead in connection with the L-2-norm to a convex distance measure which has to be minimised for identification purposes. The parameters are hereby often subject to specific restrictions whose intersections span a convex solution set with non-differentiability points on its boundary. For solving these well conditioned problems on-line the paper formulates the solution of the bounded convex minimisation problem as a stable equilibrium set of a proper system of differential equations. The vector field of the corresponding system of differential equations is based on a projection of the negative gradient of the distance Measure. A general drawback of this approach is the discontinuous right-hand side of the differential equation caused by the projection transformation.
    WorkplaceMathematical Institute
    ContactJarmila Štruncová, struncova@math.cas.cz, library@math.cas.cz, Tel.: 222 090 757
    Year of Publishing2012
Number of the records: 1  

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