Analysis of the ROA of an anaerobic digestion process via data-driven Koopman operator
| Autor: | Garcia-Tenorio Camilo, Mojica-Nava Eduardo, Sbarciog Mihaela, Wouwer Alain Vande |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Nonlinear Engineering, Vol 10, Iss 1, Pp 109-131 (2021) |
| Druh dokumentu: | article |
| ISSN: | 2192-8010 2192-8029 |
| DOI: | 10.1515/nleng-2021-0009 |
| Popis: | Nonlinear biochemical systems such as the anaerobic digestion process experience the problem of the multi-stability phenomena, and thus, the dynamic spectrum of the system has several undesired equilibrium states. As a result, the selection of initial conditions and operating parameters to avoid such states is of importance. In this work, we present a data-driven approach, which relies on the generation of several system trajectories of the anaerobic digestion system and the construction of a data-driven Koopman operator to give a concise criterion for the classification of arbitrary initial conditions in the state space. Unlike other approximation methods, the criterion does not rely on difficult geometrical analysis of the identified boundaries to produce the classification. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|