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dc.contributor.authorChu, SYen_US
dc.contributor.authorTeng, CCen_US
dc.date.accessioned2019-04-02T05:58:54Z-
dc.date.available2019-04-02T05:58:54Z-
dc.date.issued1999-01-01en_US
dc.identifier.issn0165-0114en_US
dc.identifier.urihttp://dx.doi.org/10.1016/S0165-0114(97)00039-0en_US
dc.identifier.urihttp://hdl.handle.net/11536/147935-
dc.description.abstractWe propose a new PID tuning method using fuzzy neural networks for a given gain and phase margin specifications (FNGP). We use fuzzy neural networks to determine the PID controller parameters. Because the definitions of gain and phase margin equations are complex, an analytical tuning method for achieving specified gain and phase margins is not available yet. In this paper, a fuzzy neural modeling method is first proposed to identify the relationship between the gain-phase margin specifications and the PID controller parameters. Then, the FNGP is used to automatically tune the PID controllers parameter for different gain and phase margin specifications so that neither numerical methods nor graphical methods need be used Simulation results show that the FNGP can achieve the specified Values much more efficiently than other methods. (C) 1999 Elsevier Science B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectfuzzy neural networken_US
dc.subjectprocess controlen_US
dc.subjectPID tuningen_US
dc.subjectgain and phase marginen_US
dc.titleTuning of PID controllers based on gain and phase margin specifications using fuzzy neural networken_US
dc.typeArticleen_US
dc.identifier.doi10.1016/S0165-0114(97)00039-0en_US
dc.identifier.journalFUZZY SETS AND SYSTEMSen_US
dc.citation.volume101en_US
dc.citation.spage21en_US
dc.citation.epage30en_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:000077351100003en_US
dc.citation.woscount21en_US
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