dc.contributor.author |
HAMMAD, GALAL ABDALRAHMAN MOHAMMED |
|
dc.contributor.author |
Supervisor ,- Awadallah Tayfor Ali |
|
dc.date.accessioned |
2014-05-08T08:28:00Z |
|
dc.date.available |
2014-05-08T08:28:00Z |
|
dc.date.issued |
2012-05-01 |
|
dc.identifier.citation |
HAMMAD,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.uri |
http://repository.sustech.edu/handle/123456789/4847 |
|
dc.description |
Thesis |
en_US |
dc.description.abstract |
Inverted 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.sponsorship |
Sudan University of Science and Technology |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
Sudan University of Science and Technology |
en_US |
dc.subject |
Electrical Engineering |
en_US |
dc.subject |
CONTROL |
en_US |
dc.subject |
INVERTED PENDULUM |
en_US |
dc.subject |
ARTIFICIAL NEURAL NETWORKS |
en_US |
dc.title |
IDENTIFICATION AND CONTROL OF THE INVERTED PENDULUM BY USING ARTIFICIAL NEURAL NETWORKs |
en_US |
dc.title.alternative |
التعريف و التحكم فى البندول المعكوس باستخدام الشبكات العصبية الاصطناعية |
en_US |
dc.type |
Thesis |
en_US |