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Anytime models in fuzzy control

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dc.contributor.authorVarkonyi-Koczy, A. R.
dc.contributor.authorBencsik, Attila
dc.contributor.authorRuano, Antonio
dc.date.accessioned2013-01-29T14:37:50Z
dc.date.available2013-01-29T14:37:50Z
dc.date.issued2010
dc.date.updated2013-01-26T16:55:48Z
dc.description.abstractIn time critical applications, anytime mode of operation offers a way to ensure continuous operation and to cope with the possibly dynamically changing time and resource availability. Soft Computing, especially fuzzy model based operation proved to be very advantageous in power plant control where the high complexity, nonlinearity, and possible partial knowledge usually limit the usability of classical methods. Higher Order Singular Value Decomposition based complexity reduction makes possible to convert different classes of fuzzy models into anytime models, thus offering a way to combine the advantages, like low complexity, flexibility, and robustness of fuzzy and anytime techniques. By this, a model based anytime control methodology can be suggested which is able to keep on continuous operation using nonexact, approximate models of the plant, thus preventing critical breakdowns in the operation. In this paper, an anytime modeling method is suggested which makes possible to use complexity optimized fuzzy models in control. The technique is able to filter out the redundancy of fuzzy models and can determine the near optimal non-exact model of the plant considering the available time and resources. It also offers a way to improve the granularity (quality) of the model by building in new information without complexity explosion.por
dc.identifier.citationVarkonyi-Koczy, A. R.; Bencsik, Attila; Ruano, A. E. Anytime Models in Fuzzy Control, Trabalho apresentado em 7th Int Conf on Informatics in Control, Automation and Robotics (ICINCO 2010), In Proceedings of the 7th Int Conf on Informatics in Control, Automation and Robotics, Funchal, 2010.por
dc.identifier.otherAUT: ARU00698;
dc.identifier.urihttp://hdl.handle.net/10400.1/2136
dc.language.isoengpor
dc.peerreviewedyespor
dc.subjectPower plant controlpor
dc.subjectIntelligent controlpor
dc.subjectSituational controlpor
dc.subjectAnytime modelingpor
dc.subjectFuzzy modelingpor
dc.subjectSVD based complexity reductionpor
dc.subjectTime critical systemspor
dc.subjectResource insufficiency.por
dc.titleAnytime models in fuzzy controlpor
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceFunchalpor
oaire.citation.endPage220por
oaire.citation.startPage213por
oaire.citation.title7th International Conference on Informatics in Control, Automation and Roboticspor
person.familyNameRuano
person.givenNameAntonio
person.identifier.orcid0000-0002-6308-8666
person.identifier.ridB-4135-2008
person.identifier.scopus-author-id7004284159
rcaap.rightsrestrictedAccesspor
rcaap.typeconferenceObjectpor
relation.isAuthorOfPublication13813664-b68b-40aa-97a9-91481a31ebf2
relation.isAuthorOfPublication.latestForDiscovery13813664-b68b-40aa-97a9-91481a31ebf2

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