A Distributed Model Predictive Control Strategy for Back-to-Back Converters

dc.date.accessioned2020-03-11T20:30:53Z
dc.date.accessioned2022-10-18T22:50:07Z
dc.date.available2020-03-11T20:30:53Z
dc.date.available2022-10-18T22:50:07Z
dc.date.created2020-03-11T20:30:53Z
dc.date.issued2016
dc.identifierhttp://hdl.handle.net/10533/239240
dc.identifier15110019
dc.identifierWOS:000384641600058
dc.identifierno scielo
dc.identifiereid=2-s2.0-84982296744
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4470579
dc.description.abstractIn recent years, model predictive control (MPC) has been successfully used for the control of power electronics converters with different topologies and for different applications. MPC offers many advantages over more traditional control techniques such a
dc.languageeng
dc.relationhttps://doi.org/10.1109/TIE.2016.2527693
dc.relation10.1109/TIE.2016.2527693
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.titleA Distributed Model Predictive Control Strategy for Back-to-Back Converters
dc.typeArticulo


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