Anic, BranimirBeattie, Christopher A.Gugercin, SerkanAntoulas, Athanasios C.2017-01-162017-01-162013-05-010005-1098http://hdl.handle.net/10919/74335This paper introduces an interpolation framework for the weighted-H₂ model reduction problem. We obtain a new representation of the weighted-H₂ norm of SISO systems that provides new interpolatory first order necessary conditions for an optimal reduced-order model. The H₂ norm representation also provides an error expression that motivates a new weighted-H₂ model reduction algorithm. Several numerical examples illustrate the effectiveness of the proposed approach.1275 - 1280 (6) page(s)In CopyrightTechnologyAutomation & Control SystemsEngineering, Electrical & ElectronicEngineeringModel reductionRational interpolationFeedback controlWeighted model reductionWeighted-H-2 approximationCONTROLLER REDUCTIONBALANCED TRUNCATIONAPPROXIMATIONPROJECTIONArticle - Refereedhttps://doi.org/10.1016/j.automatica.2013.01.040495