Utilization of Analytic Programming for Evolutionary Synthesis of the Robust Controller for Set of Chaotic Systems

In this paper, it is presented a utilization of tool for symbolic regression, which is analytic programming, for the purpose of the synthesis of a new robust feedback control law. This universal synthesized robust chaotic controller secures the fully stabilization of selected set of three discrete chaotic systems. The paper consists of the descriptions of analytic programming as well as selected chaotic systems, used heuristic and cost function design. For experimentation, Self-Organizing Migrating Algorithm (SOMA) and Differential evolution (DE) were used.

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