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dc.contributor.authorHAMMAD, GALAL ABDALRAHMAN MOHAMMED
dc.contributor.authorSupervisor ,- Awadallah Tayfor Ali
dc.date.accessioned2014-05-08T08:28:00Z
dc.date.available2014-05-08T08:28:00Z
dc.date.issued2012-05-01
dc.identifier.citationHAMMAD,GALAL ABDALRAHMAN MOHAMMED . IDENTIFICATION AND CONTROL OF THE INVERTED PENDULUM BY USING ARTIFICIAL NEURAL NETWORKs/GALAL ABDALRAHMAN MOHAMMED HAMMAD;Awadallah Tayfor Al.-Khartoum:Sudan University of Science and Technology,College of Engineering,2012.-54p. : ill. ; 28cm.-M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/4847
dc.descriptionThesisen_US
dc.description.abstractInverted pendulums are highly non-linear devices with strong tendencies to be unstable. Artificial neural networks being capable of describing non-linear phenomena can be used to simulate such systems. Using SIMULINK model, an inverted pendulum dynamics are simulated using resilient back propagation neural networks. The results show good match between predicted and actual outputs.en_US
dc.description.sponsorshipSudan University of Science and Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectElectrical Engineeringen_US
dc.subjectCONTROLen_US
dc.subjectINVERTED PENDULUMen_US
dc.subjectARTIFICIAL NEURAL NETWORKSen_US
dc.titleIDENTIFICATION AND CONTROL OF THE INVERTED PENDULUM BY USING ARTIFICIAL NEURAL NETWORKsen_US
dc.title.alternativeالتعريف و التحكم فى البندول المعكوس باستخدام الشبكات العصبية الاصطناعيةen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Engineering

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IDENTIFICATION AND CONTROL OF THE INVERTED .pdftitle71.92 kBAdobe PDFView/Open
Alaya.pdfAlaya356.77 kBAdobe PDFView/Open
Dedication.pdfDedication145.7 kBAdobe PDFView/Open
Acknowledgements.pdfAcknowledgements90.6 kBAdobe PDFView/Open
Table of contents.pdf
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Abstract IN English .pdfAbstract 81.02 kBAdobe PDFView/Open
Abstract in arabic.pdfAbstract 181.61 kBAdobe PDFView/Open
Chapters.pdf
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References.pdfReferences152.93 kBAdobe PDFView/Open
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