Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1397
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electrical Engineering-
dc.creatorLeung, FHF-
dc.creatorLam, HK-
dc.creatorTam, PKS-
dc.date.accessioned2014-12-11T08:26:24Z-
dc.date.available2014-12-11T08:26:24Z-
dc.identifier.isbn0-7803-3583-X-
dc.identifier.urihttp://hdl.handle.net/10397/1397-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 1997 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.en_US
dc.rightsThis material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.en_US
dc.subjectAdaptive algorithmsen_US
dc.subjectFeedback controlen_US
dc.subjectFuzzy controlen_US
dc.subjectFuzzy setsen_US
dc.subjectMathematical modelsen_US
dc.subjectSystem stabilityen_US
dc.subjectTime varying systemsen_US
dc.titleOn fuzzy model reference adaptive control systems : full-state feedback and output feedbacken_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: F. H. F. Leungen_US
dc.description.otherinformationAuthor name used in this publication: P. K. S. Tamen_US
dcterms.abstractThe problem of model reference adaptive control (MRAC) for nonlinear time-varying plants based on a fuzzy model is addressed. It is known that this kind of plants can readily be described by a fuzzy model. To tackle the plant parameter variations, an adaptive algorithm is derived to tune a designed fuzzy controller such that the system output follows a desired output from a reference fuzzy plant model. The stability of the closed-loop system is guaranteed. Cases of full-state feedback and output feedback are to be investigated. The results and merits of the proposed algorithms are illustrated by an example for each case.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationISCAS '97 : proceedings of 1997 IEEE International Symposium on Circuits and Systems : circuits and systems in the information age : June 9-12, 1997, Hong Kong, p. 665-668-
dcterms.issued1997-
dc.identifier.isiWOS:A1997BJ47Z00167-
dc.identifier.scopus2-s2.0-0030719277-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
Appears in Collections:Conference Paper
Files in This Item:
File Description SizeFormat 
Fuzzy model reference adaptive_97.pdf269.17 kBAdobe PDFView/Open
Open Access Information
Status open access
File Version Version of Record
Access
View full-text via PolyU eLinks SFX Query
Show simple item record

Page views

141
Last Week
2
Last month
Citations as of Mar 24, 2024

Downloads

229
Citations as of Mar 24, 2024

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Mar 29, 2024

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.