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Optimal Perturbations for the Identification of Stochastic Reaction Dynamics

Author(s):

P. Nandy, M. Unger, C. Zechner, H. Koeppl
Conference/Journal:

IFAC Symposium on System Identification, Brussels, pp. 686-691
Abstract:

Identification of stochastic reaction dynamics inside the cell is hampered by the lowdimensional readouts available with todays measurement technology. Moreover, such processes are poorly excited by standard experimental protocols, making identification even more ill-posed. Recent technological advances provide means to design and apply complex extra-cellular stimuli. Based on an information-theoretic setting we provide novel Monte Carlo sampling techniques to determine optimal temporal excitations profiles for such stochastic processes. We give a new result for the controlled birth-death process and provide a proof of principle by considering a simple model of regulated gene expression.

Year:

2012
Type of Publication:

(01)Article
Supervisor:



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% Autogenerated BibTeX entry
@InProceedings { NanEtal:2012:IFA_4631,
    author={P. Nandy and M. Unger and C. Zechner and H. Koeppl},
    title={{Optimal Perturbations for the Identification of Stochastic
	  Reaction Dynamics}},
    booktitle={IFAC Symposium on System Identification},
    pages={686--691},
    year={2012},
    address={Brussels},
    month=jul,
    url={http://control.ee.ethz.ch/index.cgi?page=publications;action=details;id=4631}
}
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