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Results Towards Identifiability Properties of Biochemical Reaction Networks.
Farina, Marcello; Findeisen, Rolf; Bullinger, Eric; Bittanti, Sergio; Allgöwer, Frank; Wellstead, Peter
In this paper we consider the question of parameter identifiability for biochemical reaction networks, as typically encountered in systems biology. Specifically, we are interested in deriving conditions on the biochemical reaction network and on the measured outputs that guarantee identifiability of the parameters. Taking the specific system structure of biochemical reaction networks into account, we derive sufficient conditions for local parameter identifiability based on a suitable system expansion which does not anymore directly depend on the parameters. Rather, as shown, the problem of identifiability can be recast as the question of observability of the (parameter free) expanded system. The conditions derived are exemplified considering a simple example.
Keyword(s): Biology; Hamilton Institute; Chemistry; Biochemistry; Observability; Parameter estimation; Physiological models; Biochemical reaction networks; Expanded system observability; Parameter free system observability; Parameter identifiability; Systems biology; Chemical reaction networks; Identifiability; Parameter identification; CDC 2006Hamilton Institute.
Publication Date:
2006
Type: Book chapter
Peer-Reviewed: Yes
Institution: Maynooth University
Citation(s): Farina, Marcello and Findeisen, Rolf and Bullinger, Eric and Bittanti, Sergio and Allgöwer, Frank and Wellstead, Peter (2006) Results Towards Identifiability Properties of Biochemical Reaction Networks. In: 45th IEEE Conference on Decision & Control Manchester Grand Hyatt Hotel San Diego, CA, USA, December 13-15, 2006. IEEE, pp. 2104-2109. ISBN 1-4244-0171-2
Publisher(s): IEEE
File Format(s): application/pdf
Related Link(s): http://mural.maynoothuniversity.ie/1777/1/HamiltonIdentifiability.pdf
First Indexed: 2020-01-31 06:01:47 Last Updated: 2020-04-02 07:42:38