Title :
Synthesis of Control Law for Chaotic Logistic Equation - Preliminary Study
Author :
Zuzana Oplatková;Roman Senkerik;Ivan Zelinka;Jiri Holoska
Author_Institution :
Fac. of Appl. Inf., Tomas Bata Univ. in Zlin, Zlin, Czech Republic
Abstract :
The paper deals with a synthesis of control law for discrete chaotic logistic equation 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 logistic equation system. This article contents only 12 successful simulations out of 12 in the result section and will be extended within future tests in this field. For experiments in this case SOMA (Self-Organizing Migrating Algorithm) with analytic programming was used.
Keywords :
"Chaos","Logistics","Equations","Orbits","Control system synthesis","Control systems","Algorithm design and analysis","Genetic programming","Evolutionary computation","Delay"
Conference_Titel :
Mathematical/Analytical Modelling and Computer Simulation (AMS), 2010 Fourth Asia International Conference on
Print_ISBN :
978-1-4244-7196-6
DOI :
10.1109/AMS.2010.26