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Frequency weighted square-root optimal Hankel norm model reduction

dc.contributor.authorKumar D.; Nagar S.K.
dc.date.accessioned2025-05-24T09:22:58Z
dc.description.abstractIn this paper a square-root balanced approach based frequency weighted optimal Hankel norm model reduction algorithm is developed as an extension of [21] and [25]. The proposed algorithm generates stable reduced order models with single and double-sided weighting functions. A numerical example is included and the results are compared with the existing techniques as a validation of developed algorithm. © 2015 IEEE.
dc.identifier.doihttps://doi.org/10.1109/ASCC.2015.7244824
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/15096
dc.relation.ispartofseries2015 10th Asian Control Conference: Emerging Control Techniques for a Sustainable World, ASCC 2015
dc.titleFrequency weighted square-root optimal Hankel norm model reduction

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