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Model reduction of continuous-time interval systems using eigen spectrum analysis

dc.contributor.authorSingh C.N.; Kumar D.; Samuel P.; Sachan A.
dc.date.accessioned2025-05-24T09:32:04Z
dc.description.abstractThis paper presents mixed methods based on Eigen spectrum approach for order reduction of higher-order linear time-invariant continuous-time interval systems. The proposed methods are developed as a combination of Eigen spectrum approach along with the moment matching and differentiation methods by employing Kharitonov's theorem. The system stiffness and pole centroid of higher-order interval systems are preserved in the reduced-order interval models. Therefore, the stability of resulting reduced-order interval model is ensured for a stable higher-order interval system. A comparative analysis of the proposed approaches with well-known existing approaches is included to demonstrate the efficacy of the proposed methods. © 2018 IEEE.
dc.identifier.doihttps://doi.org/10.1109/ICPEICES.2018.8897460
dc.identifier.urihttp://172.23.0.11:4000/handle/123456789/17717
dc.relation.ispartofseries2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018
dc.titleModel reduction of continuous-time interval systems using eigen spectrum analysis

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