International Journal of Industrial Electronics and Electrical Engineering(IJIEEE).
Paper Title - Genetic Algorithm Technique for Controlling Nonlinear System
The effective utilization of fuzzy control to a great extent relies upon some subjectively chose parameters, for
example, fuzzy enrollment capacities. In this paper, Genetic learning and turning in light of genuine coded hereditary
calculation is proposed to consequently outline and enhance the fuzzy participation capacity's parameters. Favorable position
system, which can accomplish an exchange off between execution time and improved participation work, is presented. By
utilizing this strategy, the subjectivity and visual impairment during the time spent planning the info and yield participation
capacities are maintained a strategic distance from. The enhanced fuzzy rationale controller has been contrasted and the
conventional one and the outcomes show that control execution of the proposed fuzzy rationale control is incredibly made
Keywords- Fuzzy logic control; Membership function; Genetic optimization.
Author - Sucheta Yadav, Vaibhav Jadhav
Citation - Sucheta Yadav ,
Vaibhav Jadhav ,
Sucheta Yadav, Vaibhav Jadhav " Genetic Algorithm Technique for Controlling Nonlinear System " ,
International Journal of Industrial Electronics and Electrical Engineering (IJIEEE) , Volume-6,Issue-1 ( Jan, 2018 )