5 citations · 5 across the 3 of their papers we have counts for
4 papers
Global Parameter Identification and Uncertainty Quantification of reduced-order ADM1 using Maximum Likelihood Estimation and Bayesian Inference
Simon Hellmann, Leander Lerch, Terrance Wilms +6
Anaerobic digestion (AD) models can be challenging to calibrate against real data due to limited practical identifiability, data scarcity, and model complexity. Weighted least squa…
A Tutorial to Multirate Extended Kalman Filter Design for Monitoring of Agricultural Anaerobic Digestion Plants
Simon Hellmann, Terrance Wilms, Stefan Streif +1
In many applications of biotechnology, measurements are available at different sampling rates, e.g., due to online sensors and offline lab analysis. Offline measurements typically…
Comparison of Unscented Kalman Filter Design for Agricultural Anaerobic Digestion Model
Simon Hellmann, Terrance Wilms, Stefan Streif +1
Dynamic operation of biological processes, such as anaerobic digestion (AD), requires reliable process monitoring to guarantee stable operating conditions at all times. Unscented K…
Observability and Identifiability Analyses of Process Models for Agricultural Anaerobic Digestion Plants
Simon Hellmann, Arne-Jens Hempel, Stefan Streif +1
Dynamic operation of anaerobic digestion plants requires advanced process monitoring and control. Different simplifications of the Anaerobic Digestion Model No. 1 (ADM1) have been…