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dc.contributor.author
Nandy, Preetam
dc.contributor.author
Unger, Michael
dc.contributor.author
Zechner, Christoph
dc.contributor.author
Koeppl, Heinz
dc.date.accessioned
2021-07-28T12:19:01Z
dc.date.available
2017-06-10T11:44:32Z
dc.date.available
2018-09-13T08:00:59Z
dc.date.available
2021-07-28T12:19:01Z
dc.date.issued
2012-07
dc.identifier.isbn
978-3-902823-06-9
en_US
dc.identifier.issn
1474-6670
dc.identifier.other
10.3182/20120711-3-BE-2027.00397
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/59561
dc.description.abstract
Identification of stochastic reaction dynamics inside the cell is hampered by the low-dimensional readouts available with today's measurement technologies. 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 present novel Monte Carlo sampling techniques to determine optimal temporal excitation 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.
en_US
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Optimal experiment design
en_US
dc.subject
Excitation
en_US
dc.subject
Identifiability
en_US
dc.subject
Parameter estimation
en_US
dc.subject
Identification algorithms
en_US
dc.title
Optimal perturbations for the identification of stochastic reaction dynamics
en_US
dc.type
Conference Paper
dc.date.published
2016-04-21
ethz.book.title
16th IFAC Symposium on System Identification
en_US
ethz.journal.title
IFAC Proceedings Volumes
ethz.journal.volume
45
en_US
ethz.journal.issue
16
en_US
ethz.pages.start
686
en_US
ethz.pages.end
691
en_US
ethz.event
16th IFAC Symposium on System Identification (SYSID 2012)
en_US
ethz.event.location
Brussels, Belgium
en_US
ethz.event.date
July 11-13, 2012
en_US
ethz.publication.place
Oxford
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
03883 - Köppl, Heinz Wolfgang (SNF-Professur)
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02650 - Institut für Automatik / Automatic Control Laboratory
en_US
ethz.leitzahl.certified
03883 - Köppl, Heinz Wolfgang (SNF-Professur)
ethz.date.deposited
2017-06-10T11:44:43Z
ethz.source
ECIT
ethz.identifier.importid
imp593650118816730841
ethz.ecitpid
pub:95126
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2017-07-26T19:18:27Z
ethz.rosetta.lastUpdated
2019-01-02T13:59:29Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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