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Matches in SemOpenAlex for { <https://semopenalex.org/work/W1981102000> ?p ?o ?g. }

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• W1981102000 abstract "In this study, a robust approach to global identification of linear parameter varying (LPV) systems in an input–output setting is proposed. In practice, the industrial process data are often contaminated with outliers. In order to handle outliers in process modelling, the robust LPV modelling problem is formulated and solved in the scheme of generalised expectation–maximisation (GEM) algorithm. The measurement noise is taken to follow the Student's t -distribution instead of using the conventional Gaussian distribution, in this algorithm. The extent of robustness of the proposed approach is adaptively adjusted by optimising the degrees of freedom parameter of the Student's t -distribution iteratively through the maximisation step of the GEM algorithm. The numerical example is provided to demonstrate the effectiveness of the proposed approach." @default.
• W1981102000 created "2016-06-24" @default.
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• W1981102000 date "2015-04-01" @default.
• W1981102000 modified "2023-09-26" @default.
• W1981102000 title "Robust global identification of linear parameter varying systems with generalised expectation–maximisation algorithm" @default.
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• W1981102000 doi "https://doi.org/10.1049/iet-cta.2014.0694" @default.
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