Archivio Istituzionale della RicercaIn this work, we propose a kernel-based robust nonparametric approach to direct data-driven control of linear systems, in the presence of bounded noise affecting the measurements data. First, we formulate the problem of designing a controller in order to match the behaviour of a given reference model. Then, we design the controller by applying previous results by some of the authors in the field of kernel-based nonparametric error-in-variables identification. Finally, we show the effectiveness of the presented technique by means of two simulation examples.
A kernel-based nonparametric approach to direct data-driven control of LTI systems / Cerone, Vito; Regruto, Tomalino; Abuabiah, MOHAMMAD IBRAHIM FAREED; Fadda, Edoardo. - ELETTRONICO. - 2018:(2018), pp. 1026-1031. (Intervento presentato al convegno The 18th IFAC Symposium on System Identification SYSID tenutosi a Stockholm, Sweden nel 9-11 July 2018).
A kernel-based nonparametric approach to direct data-driven control of LTI systems
CERONE VITO;REGRUTO TOMALINO;MOHAMMAD IBRAHIM FAREED;EDOARDO FADDA
2018
Abstract
In this work, we propose a kernel-based robust nonparametric approach to direct data-driven control of linear systems, in the presence of bounded noise affecting the measurements data. First, we formulate the problem of designing a controller in order to match the behaviour of a given reference model. Then, we design the controller by applying previous results by some of the authors in the field of kernel-based nonparametric error-in-variables identification. Finally, we show the effectiveness of the presented technique by means of two simulation examples.
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https://hdl.handle.net/11583/2713225
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