IDENTIFICATION AND CONTROL OF THE INVERTED PENDULUM BY USING ARTIFICIAL NEURAL NETWORKs

HAMMAD, GALAL ABDALRAHMAN MOHAMMED; Supervisor ,- Awadallah Tayfor Ali

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