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Model order reduction of interval systems using an arithmetic operation

dc.contributor.authorKumar Deveerasetty K.; Nagar S.K.
dc.date.accessioned2025-05-23T11:30:22Z
dc.description.abstractThe paper presents an extension of the differentiation method for model order reduction of large-scale interval systems. This is an alternative approach to the existing differentiation method of interval systems. The proposed method has been applied for both continuous and discrete-time interval systems. The reduction of discrete-time interval systems is achieved by using simple linear transformation (Formula presented.) and bilinear transformation (Formula presented.), where (Formula presented.). The proposed method always generates stable reduced-order models, and also it retains the zeroth-order interval time moment. Four numerical examples exemplify the accuracy of the method and computational simplicity. Furthermore, the difficulties associated with the extension of Routh-based approximations to interval systems for obtaining stable reduced-order models are discussed. The stability of interval systems is verified by using Kharitonov's theorem. © 2020, © 2020 Informa UK Limited, trading as Taylor & Francis Group.
dc.identifier.doihttps://doi.org/10.1080/00207721.2020.1746433
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/12075
dc.relation.ispartofseriesInternational Journal of Systems Science
dc.titleModel order reduction of interval systems using an arithmetic operation

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