Data-driven LPV synthesis: the FIR controller case

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademic

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Current state-of-the-art control design techniques in the Linear Parameter-Varying (LPV) framework are dependent on the availability of a parametric model of the to be controlled system. Such models are often obtained through firstprinciple modeling. In practical situations, this often results in complex models for which LPV control design can be difficult. Alternatively, system identification methods can be used. On the other hand, control synthesis techniques based on Frequency-Response-Function (FRF) measurements for linear time-invariant systems are available, avoiding the intermediate procedure of first-principle modeling (see, e.g., [1, 2, 3]). The aim of this work is to present a data-driven LPV control synthesis method for Finite Impulse Response (FIR) filters
Originele taal-2Engels
Titel38th Benelux Meeting on Systems and Control
RedacteurenPanos Patrinos, Ivan Markovsky, Wim Michiels, Jan Swevers, Steffen Waldherr
Aantal pagina's1
StatusGepubliceerd - 2019
Evenement38th Benelux Meeting on Systems and Control - Lommel, België
Duur: 19 mrt 201921 mrt 2019


Congres38th Benelux Meeting on Systems and Control

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