The Extended Kalman Filter for Nonlinear State Estimation in a U-loop Bioreactor

Tobias K. S. Ritschel, Dimitri Boiroux, Marcus Krogh Nielsen, Jakob Kjøbsted Huusom, Sten Bay Jørgensen, John Bagterp Jørgensen*

*Corresponding author for this work

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In this paper, we consider nonlinear state estimation in the U-loop reactor for single-cell protein (SCP) production. The model of the U-loop reactor is a mixture of stochastic partial differential equations and stochastic differential equations which are stiff. By a typical finite-volume spatial discretization, the resulting system of stochastic differential equations for numerical simulation and state estimation has 83 states. We investigate and discuss the continuous-discrete EKF for state estimation in this high-dimensional and stiff continuous-discrete-time system.
Original languageEnglish
Title of host publication2019 IEEE Conference on Control Technology and Applications (CCTA)
Publication date2019
ISBN (Print)978-1-7281-2768-2
ISBN (Electronic)978-1-7281-2767-5
Publication statusPublished - 2019
Event2019 IEEE Conference on Control Technology and Applications (CCTA) - City University of Hong Kong, Hong Kong, China
Duration: 19 Aug 201921 Aug 2019
Conference number: 3


Conference2019 IEEE Conference on Control Technology and Applications (CCTA)
LocationCity University of Hong Kong
CityHong Kong
Internet address

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