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Model Order Reduction by Using Improved Approximat by Ramesh Komarasami is a document available to read on EtoBox.

This article presents a novel approach for model order reduction (MOR) using the balanced singular perturbation approximation (BSPA) technique, aimed at large-scale linear dynamical systems. The method enhances the accuracy of reduced-order models by preserving the dominant states of the original system while addressing limitations of traditional balanced truncation methods. The proposed approach has been validated through numerical examples, demonstrating its effectiveness compared to existing standard red

Author
Ramesh Komarasami
Language
EN