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

Dürr, R., & Waldherr, S. (2018). A Novel Framework for Parameter and State Estimation of Multicellular Systems Using Gaussian Mixture Approximations. Processes, 6(10): 187. doi:10.3390/pr6100187.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-6BDD-E Version Permalink: http://hdl.handle.net/21.11116/0000-0002-F5BD-5
Genre: Journal Article

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duerr_3002920.pdf (Publisher version), 2MB
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c 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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 Creators:
Dürr, Robert1, 2, Author              
Waldherr, Steffen2, Author
Affiliations:
1Process Synthesis and Process Dynamics, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738153              
2Department of Chemical Engineering, Bio- and Chemical Systems Technology, Reactor Engineering, and Safety, KU Leuven, B-3001 Leuven, Belgium, ou_persistent22              

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Language(s): eng - English
 Dates: 2018
 Publication Status: Published in print
 Pages: -
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 Table of Contents: -
 Rev. Method: Peer
 Identifiers: DOI: 10.3390/pr6100187
Other: pubdata_escidoc:3002920
 Degree: -

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Title: Processes
Source Genre: Journal
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Publ. Info: Basel, Switzerland : MDPI
Pages: - Volume / Issue: 6 (10) Sequence Number: 187 Start / End Page: - Identifier: ISSN: 2227-9717
CoNE: https://pure.mpg.de/cone/journals/resource/2227-9717