DocumentCode
1647439
Title
Autonomous learning cerebellum model articulation controller
Author
Shaaban, Khaled M. ; Mohamed, Refaat M.
Author_Institution
Dept. of Electr. Eng., Assiut Univ., Egypt
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
681
Lastpage
686
Abstract
Introduces an intelligent controller named autonomous learning cerebellum model articulation controller (ALCMAC). This controller has the ability to learn its control function incrementally and autonomously from direct interaction with the environment. It combines two features, first there is no need for the system mathematical modeling and second it learns its control function autonomously from direct interaction with the environment. To illustrate its capabilities, it is used to control a two-joint robot arm to track a preplanned trajectory
Keywords
cerebellar model arithmetic computers; intelligent control; learning systems; neurocontrollers; position control; robots; autonomous learning cerebellum model articulation controller; control function; intelligent controller; preplanned trajectory tracking; two-joint robot arm; Adaptive control; Brain modeling; Control systems; Mathematical model; Neural networks; Process control; Robot control; Table lookup; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1005555
Filename
1005555
Link To Document