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dc.contributor.authorWu, JCen_US
dc.contributor.authorLiu, TSen_US
dc.date.accessioned2014-12-08T15:02:46Z-
dc.date.available2014-12-08T15:02:46Z-
dc.date.issued1996-03-01en_US
dc.identifier.issn1063-6536en_US
dc.identifier.urihttp://dx.doi.org/10.1109/87.486340en_US
dc.identifier.urihttp://hdl.handle.net/11536/1409-
dc.description.abstractThis study develops a method for fuzzy control design with sliding modes in which robustness is inherent, Fuzzy control is formulated to become a class of variable structure system (VSS) control, Sliding modes are used to determine best values for parameters in fuzzy control rules, thereby robustness in fuzzy control can be improved. A switching manifold is prescribed and the phase trajectory is demanded to satisfy both the reaching condition and the sliding condition for sliding modes, Both computer simulations and experiments are carried out for an apparatus which can to some extent represent cornering motion of a motorcycle on which a rider leans to maintain stability, Experimental results demonstrate that the proposed method outperforms both proportional integral derivative (PID) control and neural-network-based fuzzy control.en_US
dc.language.isoen_USen_US
dc.titleA sliding-mode approach to fuzzy control designen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/87.486340en_US
dc.identifier.journalIEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGYen_US
dc.citation.volume4en_US
dc.citation.issue2en_US
dc.citation.spage141en_US
dc.citation.epage151en_US
dc.contributor.department交大名義發表zh_TW
dc.contributor.department機械工程學系zh_TW
dc.contributor.departmentNational Chiao Tung Universityen_US
dc.contributor.departmentDepartment of Mechanical Engineeringen_US
dc.identifier.wosnumberWOS:A1996TZ34700003-
dc.citation.woscount52-
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