Results towards identifiability properties of biochemical reaction networks

M. Farina, R. Findeisen, Eric Bullinger, S. Bittanti, F. Allgöwer, P. Wellstead

Research output: Contribution to conferencePaper

24 Citations (Scopus)

Abstract

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 any more 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.
LanguageEnglish
Pages2104-2109
Number of pages6
DOIs
Publication statusPublished - 2006
Event45th IEEE Conference on Decision and Control - San Diego, United States
Duration: 13 Dec 200615 Dec 2006

Conference

Conference45th IEEE Conference on Decision and Control
CountryUnited States
CitySan Diego
Period13/12/0615/12/06

Fingerprint

Observability
Systems Biology

Keywords

  • biochemical reaction networks
  • decision control systems

Cite this

Farina, M., Findeisen, R., Bullinger, E., Bittanti, S., Allgöwer, F., & Wellstead, P. (2006). Results towards identifiability properties of biochemical reaction networks. 2104-2109. Paper presented at 45th IEEE Conference on Decision and Control, San Diego, United States. https://doi.org/10.1109/CDC.2006.376925
Farina, M. ; Findeisen, R. ; Bullinger, Eric ; Bittanti, S. ; Allgöwer, F. ; Wellstead, P. / Results towards identifiability properties of biochemical reaction networks. Paper presented at 45th IEEE Conference on Decision and Control, San Diego, United States.6 p.
@conference{9560fde447fc416d8057722c9cf51243,
title = "Results towards identifiability properties of biochemical reaction networks",
abstract = "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 any more 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.",
keywords = "biochemical reaction networks , decision control systems",
author = "M. Farina and R. Findeisen and Eric Bullinger and S. Bittanti and F. Allg{\"o}wer and P. Wellstead",
year = "2006",
doi = "10.1109/CDC.2006.376925",
language = "English",
pages = "2104--2109",
note = "45th IEEE Conference on Decision and Control ; Conference date: 13-12-2006 Through 15-12-2006",

}

Farina, M, Findeisen, R, Bullinger, E, Bittanti, S, Allgöwer, F & Wellstead, P 2006, 'Results towards identifiability properties of biochemical reaction networks' Paper presented at 45th IEEE Conference on Decision and Control, San Diego, United States, 13/12/06 - 15/12/06, pp. 2104-2109. https://doi.org/10.1109/CDC.2006.376925

Results towards identifiability properties of biochemical reaction networks. / Farina, M.; Findeisen, R.; Bullinger, Eric; Bittanti, S.; Allgöwer, F.; Wellstead, P.

2006. 2104-2109 Paper presented at 45th IEEE Conference on Decision and Control, San Diego, United States.

Research output: Contribution to conferencePaper

TY - CONF

T1 - Results towards identifiability properties of biochemical reaction networks

AU - Farina, M.

AU - Findeisen, R.

AU - Bullinger, Eric

AU - Bittanti, S.

AU - Allgöwer, F.

AU - Wellstead, P.

PY - 2006

Y1 - 2006

N2 - 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 any more 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.

AB - 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 any more 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.

KW - biochemical reaction networks

KW - decision control systems

U2 - 10.1109/CDC.2006.376925

DO - 10.1109/CDC.2006.376925

M3 - Paper

SP - 2104

EP - 2109

ER -

Farina M, Findeisen R, Bullinger E, Bittanti S, Allgöwer F, Wellstead P. Results towards identifiability properties of biochemical reaction networks. 2006. Paper presented at 45th IEEE Conference on Decision and Control, San Diego, United States. https://doi.org/10.1109/CDC.2006.376925