Model reduction of continuous-time interval systems using eigen spectrum analysis
| dc.contributor.author | Singh C.N.; Kumar D.; Samuel P.; Sachan A. | |
| dc.date.accessioned | 2025-05-24T09:32:04Z | |
| dc.description.abstract | This 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.doi | https://doi.org/10.1109/ICPEICES.2018.8897460 | |
| dc.identifier.uri | http://172.23.0.11:4000/handle/123456789/17717 | |
| dc.relation.ispartofseries | 2018 2nd IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems, ICPEICES 2018 | |
| dc.title | Model reduction of continuous-time interval systems using eigen spectrum analysis |