Utilization of analytic programming for the evolutionary synthesis of the robust multi-chaotic controller for selected sets of discrete chaotic systems

被引：6
|
作者：
Senkerik, Roman [1 ]
Oplatkova, Zuzana Kominkova [1 ]
Zelinka, Ivan [2 ]
Chramcov, Bronislav [1 ]
Davendra, Donald D. [2 ]
Pluhacek, Michal [1 ]
机构：
[1] Tomas Bata Univ Zlin, Fac Appl Informat, Zlin 76001, Czech Republic
[2] Tech Univ Ostrava, Fac Elect Engn & Comp Sci, Ostrava 70833, Czech Republic
来源：
SOFT COMPUTING | 2014年 / 18卷 / 04期
关键词：
Chaos control; Symbolic regression; Analytic programming; Differential evolution; SOMA; DIFFERENTIAL EVOLUTION; ALGORITHM; STABILIZATION; OPTIMIZATION; PERFORMANCE; SOMA; TASK;
D O I：
10.1007/s00500-014-1220-1
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A novel tool for symbolic regression, analytical programming and its application for the synthesis of a new robust feedback control law are presented in this paper. This synthesized robust chaotic controller secures the fully stabilization of several selected sets containing one-dimensional, two-dimensional and evolutionary synthesized 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 and differential evolution were used.
引用
收藏
页码：651 / 668
页数：18
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