Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/111284
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dc.titleSelf-tuning adaptive resolution (STAR) fuzzy control algorithm
dc.contributor.authorLui, Ho Chung
dc.contributor.authorGu, Ming Kun
dc.contributor.authorGoh, Tiong Hwee
dc.contributor.authorWang, Pei Zhuang
dc.date.accessioned2014-11-27T09:46:35Z
dc.date.available2014-11-27T09:46:35Z
dc.date.issued1994
dc.identifier.citationLui, Ho Chung,Gu, Ming Kun,Goh, Tiong Hwee,Wang, Pei Zhuang (1994). Self-tuning adaptive resolution (STAR) fuzzy control algorithm. IEEE International Conference on Fuzzy Systems 3 : 1508-1513. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/111284
dc.description.abstractA novel Self-Tuning Adaptive Resolution (STAR) fuzzy control algorithm is introduced in this paper. One of the unique features is that the fuzzy linguistic concepts change constantly in response to the states of input signals. This is achieved by modifying the corresponding membership functions. We use this adaptive resolution capability to realize a control strategy that attempts to minimize both the rise time and the overshoot. Simulation results on a simple inverted pendulum problem are presented. Its characteristics are compared with the classical PD controller. Finally, the algorithm is also realized to control a real inverted pendulum hardware. Experimental results show that the STAR controller is both robust and can minimize positional error with drastically reduced overshoot.
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentINSTITUTE OF SYSTEMS SCIENCE
dc.description.sourcetitleIEEE International Conference on Fuzzy Systems
dc.description.volume3
dc.description.page1508-1513
dc.description.coden194
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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