Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/8471
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dc.contributor.authorSingh, Vijay-
dc.date.accessioned2014-11-13T11:41:45Z-
dc.date.available2014-11-13T11:41:45Z-
dc.date.issued1999-
dc.identifierM.Techen_US
dc.identifier.urihttp://hdl.handle.net/123456789/8471-
dc.guideMishra, R. N.-
dc.guideMukherjee, S.-
dc.description.abstractIn the. analysis and design of a high order linear time invariant system, it is often necessary to get a low order model so that it may be used for an analogue or digital simulation of the system, or for designing controllers for the system. In this dissertation, we have discussed the two methods of model order reduction one is 'based on eigenspectrum analysis and step response matching, other is the classical Marshall method of action, in which the multi-input & multi-output (MIMO) systemsrL In this dissertation, we have also discussed the reduction of control low using modal approach.en_US
dc.language.isoenen_US
dc.subjectELECTRICAL ENGINEERINGen_US
dc.subjectMODEL REDUCTIONen_US
dc.subjectCONTROLLER DESIGNen_US
dc.subjectMIMO SYSTEMen_US
dc.titleMODEL REDUCTION AND APPLICATION TO CONTROLLER DESIGNen_US
dc.typeM.Tech Dessertationen_US
dc.accession.number248052en_US
Appears in Collections:MASTERS' THESES (Electrical Engg)

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