| Autor: |
Prawira Negara, Agung, Burohman, Azka, Jayawardhana, Bayu, Baumann, Michael Heinrich, Grüne, Lars, Jacob, Birgit Jacob, Worthmann, Karl |
| Přispěvatelé: |
Discrete Technology and Production Automation, Systems, Control and Applied Analysis |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Proceedings of the 25th International Symposium on Mathematical Theory of Networks and Systems (MTNS 2022) |
| Popis: |
We propose a Kron-based model reduction method for open chemical reaction networks with constant inflow and proportional outflow, which guarantees the preservation of network structures and interlacing property of the reduced-order model. We further show that the proposed Kron-based model reduction method achieves zero-moment matching for nonlinear systems. Lastly, for single-species single-substrate open chemical reaction networks, we present a Gramian-based approach to optimally select the removed nodes and provide the corresponding a priori error bound. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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