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Unstable System Approximants via Balancing in view of the Singular Perturbation Approximation
In this article, a simplified yet powerful approach for model-order reduction (MOR) has been presented. The approach may be called a balanced singular perturbation approximation (BSPA) approach applicable to real-world problems. This method is based on the singular value decomposition (SVD) of Chole...
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Published in: | Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Electrical Engineering, Electronics and telecommunication engineering, Computer engineering, 2023, Vol.104 (1), p.285-296 |
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Main Authors: | , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | In this article, a simplified yet powerful approach for model-order reduction (MOR) has been presented. The approach may be called a balanced singular perturbation approximation (BSPA) approach applicable to real-world problems. This method is based on the singular value decomposition (SVD) of Cholesky factors of controllability or reachability and observability Gramian. The proposed method is the result of the hybridization of the balanced truncation (BT) method with a singular perturbation approximation (SPA). The steady-state mismatch or DC gain deviation from the original system’s desired gain, which had been a prominent demerit of the BT, has been eliminated. The proposed algorithm, thus obtained, has been applied for the reduced-order model (ROM) of large-scale real-world problems keeping the dynamical behaviour of the approximant almost the same as of the original system. The efficacy of the proposed approach has been justified by addressing the number of unstable systems. The results obtained via it have been compared with a few prominent published works available in the literature review. |
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ISSN: | 2250-2106 2250-2114 |
DOI: | 10.1007/s40031-022-00841-4 |