Autoencoder-Based Reduced Order Observer Design for a Class of Diffusion-Convection-Reaction Systems

Autoencoder-Based Reduced Order Observer Design for a Class of Diffusion-Convection-Reaction Systems

The application of autoencoders in combination with Dynamic Mode Decomposition for control (DMDc) and reduced order observer design as well as Kalman Filter design is discussed for low order state reconstruction of a class of scalar linear diffusion-convection-reaction systems. The general idea and...

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Detalles Bibliográficos
Autor principal: Alexander Schaum
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
Materias:
reduced order observers
PDE models
diffusion-convection-reaction systems
dynamic mode decomposition
autoencoders
machine learning
Industrial engineering. Management engineering
T55.4-60.8
Electronic computers. Computer science
QA75.5-76.95
Acceso en línea:https://doaj.org/article/278ae96426954533ba6013f88cae3a99
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https://doaj.org/article/278ae96426954533ba6013f88cae3a99

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