Title :
Generalized approach for GA based learning of FLC design parameters
Author :
Anzar, Masood ; Azeem, Mohammad Fazle ; Chauhan, Tanveer ; Yadav, Anil Kumar
Author_Institution :
Meerut Inst. of Eng. & Technol., Meerut, India
Abstract :
This paper aims at the Genetic Algorithm (GA´s) based tuning of fuzzy logic controller (FLC). A two-step approach is proposed to tune a fuzzy logic controller using genetic algorithm. Moreover, it has been tried to develop a stepwise method to tune a fuzzy logic controller with GA in less number of generations. Special attention has been given to the learning of knowledge base which can be used for the elimination of premise variable or the whole rule from the rule base.
Keywords :
control system synthesis; fuzzy control; genetic algorithms; knowledge based systems; learning (artificial intelligence); FLC design parameters; fuzzy logic controller; genetic algorithm; knowledge base learning; stepwise method; Biological cells; Fuzzy logic; Gallium; Genetic algorithms; Knowledge based systems; Process control; Tuning; Fuzzy Logic Controller (FLC); Genetic Algorithm (GA); Knowledge Base (KB); Membership Functions (MF´s); Rule Base (RB); Scaling Factors (SF); Universe of Discourse (UPD);
Conference_Titel :
Power Electronics (IICPE), 2010 India International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4244-7883-5
DOI :
10.1109/IICPE.2011.5728108
