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What is Efficient POD-Based Missing Point Estimation about?
This paper discusses a method for missing point estimation in reduced-order models derived from proper orthogonal decomposition (POD) for large-scale systems, particularly focusing on linear time-varying (LTV) models. The authors propose criteria for selecting a suitable subset of spatial coordinates to efficiently estimate the POD coefficients, thereby reducing computational demands while maintaining the accuracy of the model. The technique is applied to an industrial model of a glass feeder, demonstrating
- Author
- Lydia Kashina
- Language
- EN