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Improved CMAC neural network control scheme

dc.citation.epage158en_US
dc.citation.issue2en_US
dc.citation.spage157en_US
dc.citation.volume35en_US
dc.citation.woscount9
dc.contributor.authorLin, CCen_US
dc.contributor.authorChen, FCen_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.date.accessioned2014-12-08T15:46:59Z
dc.date.available2014-12-08T15:46:59Z
dc.date.issued1999-01-21en_US
dc.description.abstractThe cerebellar model articulation controller (CMAC) neural network control scheme is a powerful tool for practical real-time nonlinear control applications. However, despite its initial outstanding performance, the CMAC control system can suddenly diverge after a long period of stable tracking. The authors propose a modification to the CMAC control scheme in order to improve stability while preserving the original good performance.en_US
dc.identifier.issn0013-5194en_US
dc.identifier.journalELECTRONICS LETTERSen_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/31568
dc.identifier.wosnumberWOS:000078627300043
dc.language.isoen_USen_US
dc.titleImproved CMAC neural network control schemeen_US
dc.typeArticleen_US

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