Full metadata record
DC FieldValueLanguage
dc.contributor.authorHsu, CFen_US
dc.contributor.authorLin, CMen_US
dc.contributor.authorLee, TTen_US
dc.date.accessioned2014-12-08T15:25:09Z-
dc.date.available2014-12-08T15:25:09Z-
dc.date.issued2005en_US
dc.identifier.isbn0-7803-9158-6en_US
dc.identifier.issn1098-7584en_US
dc.identifier.urihttp://hdl.handle.net/11536/17546-
dc.description.abstractThis paper proposes an adaptive fuzzy sliding-mode controller with proportional-integral learning algorithm (PI-AFSMC) for the unknown nonlinear systems. All the controller parameters are on-line tuned by the derived learning algorithms in the Lyapunov stability theorem, thus the stability of the system can be guaranteed. Finally, the proposed PI-AFSMC is applied to control a linear piezoelectric ceramic motor. Experimental results demonstrate the effectiveness of the proposed PI-AFSMC can achieve favorable tracking performances with unknown the controlled system dynamics.en_US
dc.language.isoen_USen_US
dc.subjectadaptive controlen_US
dc.subjectfuzzy controlen_US
dc.subjectsliding-mode controlen_US
dc.titleAdaptive fuzzy sliding-mode control for linear piezoelectric ceramic motoren_US
dc.typeProceedings Paperen_US
dc.identifier.journalFUZZ-IEEE 2005: PROCEEDINGS OF THE IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS: BIGGEST LITTLE CONFERENCE IN THE WORLDen_US
dc.citation.spage507en_US
dc.citation.epage512en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:000230981000087-
Appears in Collections:Conferences Paper