Better stability with measurement errors

dc.citation.epage1485en_US
dc.citation.issueNumber6en_US
dc.citation.spage1477en_US
dc.citation.volumeNumber163en_US
dc.contributor.authorArgun, A.en_US
dc.contributor.authorVolpe, G.en_US
dc.date.accessioned2018-04-12T10:57:06Z
dc.date.available2018-04-12T10:57:06Z
dc.date.issued2016-06en_US
dc.departmentDepartment of Physicsen_US
dc.description.abstractOften it is desirable to stabilize a system around an optimal state. This can be effectively accomplished using feedback control, where the system deviation from the desired state is measured in order to determine the magnitude of the restoring force to be applied. Contrary to conventional wisdom, i.e. that a more precise measurement is expected to improve the system stability, here we demonstrate that a certain degree of measurement error can improve the system stability. We exemplify the implications of this finding with numerical examples drawn from various fields, such as the operation of a temperature controller, the confinement of a microscopic particle, the localization of a target by a microswimmer, and the control of a population.en_US
dc.description.provenanceMade available in DSpace on 2018-04-12T10:57:06Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 179475 bytes, checksum: ea0bedeb05ac9ccfb983c327e155f0c2 (MD5) Previous issue date: 2016en
dc.identifier.doi10.1007/s10955-016-1518-8en_US
dc.identifier.issn0022-4715
dc.identifier.urihttp://hdl.handle.net/11693/36907
dc.language.isoEnglishen_US
dc.publisherSpringer New York LLCen_US
dc.relation.isversionofhttps://doi.org/10.1007/s10955-016-1518-8en_US
dc.source.titleJournal of Statistical Physicsen_US
dc.subjectMeasurementen_US
dc.subjectNoisy systemsen_US
dc.subjectStabilityen_US
dc.subjectStochastic differential equationsen_US
dc.titleBetter stability with measurement errorsen_US
dc.typeArticleen_US

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