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dc.contributor.authorHady, S.A.
dc.contributor.authorAli, A.A.
dc.contributor.authorBreesam, W.I.
dc.contributor.authorSaleh, A.L.
dc.contributor.authorAl-Yasir, Yasir I.A.
dc.contributor.authorAbd-Alhameed, Raed
dc.date.accessioned2022-12-11T13:46:39Z
dc.date.accessioned2023-01-12T16:03:47Z
dc.date.available2022-12-11T13:46:39Z
dc.date.available2023-01-12T16:03:47Z
dc.date.issued2022-11
dc.identifier.citationHady SA, Ali AA, Breesam WI et al (2022) Control of three-links robot arm based on fuzzy neural Petri nets. International Journal of Automation and Control. 17(1): 116-131.en_US
dc.identifier.urihttp://hdl.handle.net/10454/19283
dc.descriptionYesen_US
dc.description.abstractA fuzzy neural Petri Nets (FNPN) controller is utilized for controlling a three-links robot arm which considers a nonlinear dynamic system. The incorporation of the classical FNN with a Petri net (PN) has been suggested to produce a new representing system called FNPN structure to alleviate the computation burden. The motion equation of three links robot arm is derived from Lagrange’s equation. This equation has been incorporated with the motion equations of DC Servo motors which motivate the robot. For nonlinearity dynamic problems, this paper presents a direct adaptive control technique to control three links robot arm utilizing the FNPN controller. The computer simulation depicts that the present FNPN controller accomplished better performance with fast response and minimum error.en_US
dc.language.isoenen_US
dc.publisherInderscience Enterprises Ltd.
dc.rights©2023 Inderscience Enterprises Ltd. Reproduced in accordance with the publisher's self-archiving policy.en_US
dc.subjectFuzzy neural Petri neten_US
dc.subjectFNPNen_US
dc.subjectForward adaptive controlen_US
dc.subjectRobot arm controlen_US
dc.titleControl of three-links robot arm based on fuzzy neural Petri netsen_US
dc.status.refereedYesen_US
dc.date.Accepted2022
dc.date.application2022-11-02
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1504/IJAAC.2023.127284
dc.rights.licenseUnspecifieden_US
dc.date.updated2022-12-11T13:46:41Z
refterms.dateFOA2023-01-12T16:21:47Z
dc.openaccess.statusopenAccessen_US


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