Synthesis of control rule for synthesized chaotic system by means of evolutionary techniques

Abstract

The paper deals with a synthesis of control law for a discrete chaotic system, both synthesized by means of analytic programming. This is a preliminary study in which the aim is to show that tool for symbolic regression analytic programming - is possible to use for such kind of problems. The paper consists of description of analytic programming as well as a chaotic system. This article contents 52 successful simulations in the result section and will be extended within future tests in this field. SOMA (Self-Organizing Migrating Algorithm) with analytic programming was used for experiments in this case.