Multi-Rate Data Fusion for State and Parameter Estimation in (Bio-)Chemical Process Engineering
For efficient operation, modern control approaches for biochemical process engineering require information on the states of the process such as temperature, humidity or chemical composition. Those measurement are gathered from a set of sensors which differ with respect to sampling rates and measurem...
Guardado en:
Autores principales: | Robert Dürr, Stefanie Duvigneau, Carsten Seidel, Achim Kienle, Andreas Bück |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/63ba30550b5e4fa09605feaa215ff4de |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
- International journal of image and data fusion
-
State of charge estimation of li-ion batteries based on the noise-adaptive interacting multiple model
por: Ce Huang, et al.
Publicado: (2021) -
An Integrated Deep Ensemble-Unscented Kalman Filter for Sideslip Angle Estimation With Sensor Filtering Network
por: Dongchan Kim, et al.
Publicado: (2021) -
Surrounding Objects Detection and Tracking for Autonomous Driving Using LiDAR and Radar Fusion
por: Ze Liu, et al.
Publicado: (2021) -
A stochastic metapopulation state-space approach to modeling and estimating COVID-19 spread
por: Yukun Tan, et al.
Publicado: (2021)