DocumentCode :
653875
Title :
Optimal tuning of Brain Emotional Learning Based Intelligent Controller using Clonal Selection Algorithm
Author :
Jafari, Mohsen ; Mohammad Shahri, Alireza ; Elyas, Seyyed H.
Author_Institution :
Dept. of Mechatron., Islamic Azad Univ., Qazvin, Iran
fYear :
2013
fDate :
Oct. 31 2013-Nov. 1 2013
Firstpage :
30
Lastpage :
34
Abstract :
In this paper, an optimal parameter assignment methodology for intelligent controller based on computational model of emotional learning in mammalian brain is presented. Brain Emotional Learning Based Intelligent Controller (BELBIC) is an intelligent controller based on emotional learning process in mammalian limbic system. The proposed controller has been applied to control a single link flexible joint manipulator. In this paper, the CLONAL Selection Algorithm is utilized to obtain superior controller parameters in order to minimize Rise time, Settling time and Overshoot.
Keywords :
flexible manipulators; intelligent control; intelligent robots; optimal control; brain emotional learning based intelligent controller; clonal selection algorithm; mammalian brain; mammalian limbic system; optimal tuning; parameter assignment methodology; single link flexible joint manipulator; Artificial intelligence; Brain modeling; Computational modeling; Equations; Mathematical model; Robustness; Viscosity; BELBIC; CLONAL Selection Algorithm; Intelligent Control; Optimal Tunning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Knowledge Engineering (ICCKE), 2013 3th International eConference on
Conference_Location :
Mashhad
Print_ISBN :
978-1-4799-2092-1
Type :
conf
DOI :
10.1109/ICCKE.2013.6682810
Filename :
6682810
Link To Document :
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