Nicoletti, AchilleMartino, MicheleKarimi, Alireza2019-02-082019-02-082019-02-082019-02-0110.1016/j.conengprac.2018.10.007https://infoscience.epfl.ch/handle/20.500.14299/154401WOS:000456903600002A new model-reference data-driven approach is presented which uses the frequency response data of a system in order to avoid the problem of unmodeled dynamics associated with low-order parametric models. It is shown that a convex optimization problem can be formulated (in either the H-infinity , H-2 or H-1 sense) to shape the closed-loop sensitivity functions while guaranteeing the closed-loop stability. The effectiveness of the method is illustrated by considering several case studies where the proposed design scheme is applied in both simulation and to a power converter control system for a specific accelerator requirement at CERN.Automation & Control SystemsEngineering, Electrical & ElectronicEngineeringconvex optimizationdata-driven controlh-1 controlh-2 controlh-infinity controlpower converter controlrobust controlrstfrequency-domainrobust-controleddy currentsdesigntext::journal::journal article::research article