Synthesis of control law for chaotic Henon system preliminary study

Abstract

The paper deals with a synthesis of control law for a discrete chaotic Henon system 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 chaotic Henon system. This article contents only 21 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.