Title
The Extended Kalman Filter For Nonlinear State Estimation In A U-Loop Bioreactor
Abstract
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.
Year
DOI
Venue
2019
10.1109/CCTA.2019.8920643
2019 3RD IEEE CONFERENCE ON CONTROL TECHNOLOGY AND APPLICATIONS (IEEE CCTA 2019)
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
0
6