Paper Title
Genetic Algorithm Technique for Controlling Nonlinear System

Abstract
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 strides. Keywords - Fuzzy logic control; Membership function; Genetic optimization.