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dc.contributor.authorDimirovski, Georgi M.
dc.contributor.authorJing, Yuan-Wei
dc.date.accessioned2014-11-29T20:21:16Z
dc.date.available2014-11-29T20:21:16Z
dc.date.issued2002
dc.identifier.citationJING, Y.W., DIMIROVSKI, (2002). Towards hybrid soft computing approach to control of complex systems. 2002 First International IEEE Symposium Intelligent Systems: Proceedings, IEEE, pp.47-54. http://dx.doi.org/10.1109/IS.2002.1044227en_US
dc.identifier.isbn0-7803-7134-8
dc.identifier.other7509051 (INSPEC)
dc.identifier.other000180818600009 (WOS)
dc.identifier.otherBW08J (IDS)
dc.identifier.urihttp://dx.doi.org/10.1109/IS.2002.1044227
dc.identifier.urihttp://hdl.handle.net/11376/706
dc.descriptionTelif hakkı yayıncıya ait.en_US
dc.description.abstractRecently an approach to the control of complex systems employing a layered overall structure and different but compatible formalisms for subsystem representations on different levels, which is consistent with most of theoretical results in systems and control sciences, has been subject of extensive research. It provides a unified framework methodology for resolving system modeling identification and control design for complex multi-variable processes. One alternative of this approach is based on employing state space theory of composite similarity systems and the use of fuzzy systems, the other one makes use of neural networks instead, to deal with uncertainties and control adaptation. From the viewpoint of systems engineering, it may well be implemented within the standard computer process control technology.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/IS.2002.1044227en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectInterconnected Systemsen_US
dc.subjectAdaptive-Controlen_US
dc.subjectNeural Networksen_US
dc.subjectFuzzyen_US
dc.subjectIdentificationen_US
dc.titleTowards hybrid soft computing approach to control of complex systemsen_US
dc.typeconferenceObjecten_US
dc.relation.journal2002 First International IEEE Symposium Intelligent Systems: Proceedingsen_US
dc.contributor.departmentDoğuş Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.identifier.volume1en_US
dc.identifier.startpage47en_US
dc.identifier.endpage54en_US


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