A Novel Framework for Parameter and State Estimation of Multicellular Systems Using Gaussian Mixture Approximations

A Novel Framework for Parameter and State Estimation of Multicellular Systems Using Gaussian Mixture Approximations

Multicellular systems play an important role in many biotechnological processes. Typically, these exhibit cell-to-cell variability, which has to be monitored closely for process control and optimization. However, some properties may not be measurable due to technical and financial restrictions. To i...

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Bibliographic Details
Main Authors: Robert Dürr, Steffen Waldherr
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Processes
Subjects:
population balance modeling
multicellular systems
cell-to-cell variability
state and parameter estimation
Kalman filtering
particle filtering
Online Access:http://www.mdpi.com/2227-9717/6/10/187

Internet

http://www.mdpi.com/2227-9717/6/10/187

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