Evolutionary Synthesis Of Control Law For Higher Periodic Orbits Of Chaotic Logistic Equation

نویسندگان

  • Roman Senkerik
  • Zuzana Komínková Oplatková
  • Ivan Zelinka
  • Roman Jasek
چکیده

This research deals with a synthesis of control law for selected discrete chaotic system by means of analytic programming. The novelty of the approach is that a tool for symbolic regression – analytic programming is used for the purpose of stabilization of higher periodic orbits – oscillations between several values of chaotic system. The paper consists of the descriptions of analytic programming as well as chaotic system and used blackbox type cost function. For experimentation, Self-Organizing Migrating Algorithm (SOMA) with analytic programming and Differential evolution (DE) as second algorithm for meta-evolution were used.

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تاریخ انتشار 2011