Evolutionary control of chaotic burgers map by means of chaos enhanced differential evolution

Abstract

In this paper, evolutionary technique Differential Evolution (DE) is used for the evolutionary tuning of controller parameters for the stabilization of chaotic Burgers map system. The novality of the approach is that the identical selected discrete dissipative chaotic system is used also as the chaotic pseudo random number generator to drive the mutation and crossover process in the DE. The optimization was performed for two types of case studies and developed cost functions.