Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/1387
PIRA download icon_1.1View/Download Full Text
DC FieldValueLanguage
dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorWong, LK-
dc.creatorLeung, FHF-
dc.creatorTam, PKS-
dc.date.accessioned2014-12-11T08:26:23Z-
dc.date.available2014-12-11T08:26:23Z-
dc.identifier.isbn0-7803-5877-5-
dc.identifier.urihttp://hdl.handle.net/10397/1387-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.rights© 2000 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.subjectLyapunov methodsen_US
dc.subjectMathematical modelsen_US
dc.subjectPiecewise linear techniquesen_US
dc.subjectSystem stabilityen_US
dc.titleAn improved Lyapunov function based stability analysis method for fuzzy logic control systemsen_US
dc.typeConference Paperen_US
dcterms.abstractMany existing stability analysis methods for fuzzy logic control systems like TS fuzzy model based methods usually tackle plants that are linear with respect to control. This paper proposes an improved method which does not have such restriction. The proposed method employs a Lyapunov function to prove the stability of the non-linear fuzzy logic control system. An illustrative example will be given to demonstrate the ability of the method. The plant in this example has a control signal function composed of piecewise linear functions, saturation functions and a deadband.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationFUZZ IEEE 2000 : the ninth IEEE International Conference on Fuzzy Systems : 7-10 May 2000, San Antonio, Texas, p. 429-434-
dcterms.issued2000-
dc.identifier.isiWOS:000088355300074-
dc.relation.ispartofbookFUZZ IEEE 2000 : the ninth IEEE International Conference on Fuzzy Systems : 7-10 May 2000, San Antonio, Texas-
dc.relation.conferenceIEEE International Conference on Fuzzy Systems [FUZZ]-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryVoR alloweden_US
Appears in Collections:Conference Paper
Files in This Item:
File Description SizeFormat 
Improved Lyapunov function_00.pdf413.99 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

370
Last Week
1
Last month
Citations as of Oct 6, 2024

Downloads

233
Citations as of Oct 6, 2024

WEB OF SCIENCETM
Citations

4
Last Week
0
Last month
0
Citations as of Jun 27, 2024

Google ScholarTM

Check


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