01548oam 2200409I 450 991071192100332120190822092040.0(CKB)5470000002488885(OCoLC)1089929542(OCoLC)995470000002488885(EXLCZ)99547000000248888520190315d2019 ua 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierApplication of the Koopman operator-theoretic framework to power system dynamic state estimation /Marcos Netto [and four others][Golden, Colorado] :National Renewable Energy Laboratory,[2019].1 online resource (1 page) color illustrationsNREL/PO ;5D00-73236"Operator Theoretic Methods in Dynamic Data Analysis and Control Institute for Pure and Applied Mathematics (IPAM) - Los Angeles, CA, February 11-15, 2019."Includes bibliographical references (page 1).Electric power systemsElectric power systemsfastElectric power systems.Electric power systems.Netto Marcos1401224National Renewable Energy Laboratory (U.S.),GPOGPOOCLCFGPOBOOK9910711921003321Application of the Koopman operator-theoretic framework to power system dynamic state estimation3526506UNINA