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dc.contributor.authorDeshmukh, Vinay D.-
dc.date.accessioned2014-11-19T07:02:54Z-
dc.date.available2014-11-19T07:02:54Z-
dc.date.issued1993-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/9303-
dc.guideJoshi, R. C.-
dc.description.abstractConventional process control methods have hitherto hinged around the development of a suitable mathematical model of the process being controlled. But in real world systems, inherent non-linearities and complex input - output relationships make the modelling of the process a difficult task. Moreover, with the system parameters time varying in nature, the validity of these. mathematical models itself becomes questionable. The approach adopted in this dissertation, viz, the fuzzy logic based approach to process control, is an attempt to incorporate' human intelligence in the design of controllers, with a view to shift the focus of control system design from being 7 quantitative to being qualitative in nature. The case studies undertaken in this dissertation for the modelling and simulation. of fuzzy logic controllers in both, industrial and biological environments bring forth the.merits of this novel approach. The control is linguistic, robust, inherently parallel and hence versatileen_US
dc.language.isoenen_US
dc.subjectELECTRONICS AND COMPUTER ENGINEERINGen_US
dc.subjectFUZZY LOGICen_US
dc.subjectREAL WORLD SYSTEMen_US
dc.subjectMATHEMATICAL MODEen_US
dc.titleA FUZZY LOGIC BASED APPROACH TO PROCESS CONTROLen_US
dc.typeM.Tech Dessertationen_US
dc.accession.number245760en_US
Appears in Collections:MASTERS' DISSERTATIONS (E & C)

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