Zobrazeno 1 - 5
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pro vyhledávání: '"Burohman, Azka Muji"'
We propose a Kron-based model-order reduction method for mass-action kinetics chemical reaction networks (CRN) with constant inflow and proportional outflow. The reduced-order models preserve the CRN structure and we establish that the resulting redu
Externí odkaz:
http://arxiv.org/abs/2203.16135
This paper proposes a data-driven model reduction approach on the basis of noisy data. Firstly, the concept of data reduction is introduced. In particular, we show that the set of reduced-order models obtained by applying a Petrov-Galerkin projection
Externí odkaz:
http://arxiv.org/abs/2109.11685
A new method for data-driven interpolatory model reduction is presented in this paper. Using the so-called data informativity perspective, we define a framework that enables the computation of moments at given (possibly complex) interpolation points
Externí odkaz:
http://arxiv.org/abs/2011.00150
A method for data-driven interpolatory model reduction is presented in this extended abstract. This framework enables the computation of the transfer function values at given interpolation points based on time-domain input-output data only, without e
Externí odkaz:
http://arxiv.org/abs/2005.04427
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