Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1423
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorLam, HK-
dc.creatorLeung, FHF-
dc.date.accessioned2014-12-11T08:26:24Z-
dc.date.available2014-12-11T08:26:24Z-
dc.identifier.isbn0-7803-9489-5-
dc.identifier.urihttp://hdl.handle.net/10397/1423-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2006 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.subjectFuzzy controlen_US
dc.subjectMathematical modelsen_US
dc.subjectNumerical methodsen_US
dc.subjectSystem stabilityen_US
dc.titleLMI relaxed stability conditions for fuzzy-model-based control systemsen_US
dc.typeConference Paperen_US
dc.description.otherinformationAuthor name used in this publication: F. H. F. Leungen_US
dc.description.otherinformationCentre for Multimedia Signal Processing, Department of Electronic and Information Engineeringen_US
dc.description.otherinformationRefereed conference paperen_US
dcterms.abstractThis paper investigates the system stability of the fuzzy-model-based control systems. New stability conditions in terms of linear matrix inequalities (LMIs) will be derived based on the Lyapunov-based approach. It will be shown that the proposed stability conditions offer relaxed stability result than that of some important published stability conditions. The feedback gains of the fuzzy controller will be designed based on the LMI-based approach. A numerical example will be given to show the merits of the proposed stability conditions.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitation2006 IEEE International Conference on Fuzzy Systems : Vancouver, BC, Canada, July 16-21, 2006, p. 1932-1938-
dcterms.issued2006-
dc.identifier.scopus2-s2.0-34250699383-
dc.relation.ispartofbook2006 IEEE International Conference on Fuzzy Systems : Vancouver, BC, Canada, July 16-21, 2006-
dc.relation.conferenceIEEE International Conference on Fuzzy Systems [FUZZ]-
dc.identifier.rosgroupidr33334-
dc.description.ros2006-2007 > Academic research: refereed > Refereed conference paper-
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 
LMI relaxed stability conditions_06.pdf312.63 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

130
Last Week
1
Last month
Citations as of Apr 14, 2024

Downloads

156
Citations as of Apr 14, 2024

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Apr 19, 2024

Google ScholarTM

Check


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