Open AccessResearch on the variable universe fuzzy algorithm of chaotic systems
Author(s) -
Wei Wei Zhang,
Wang Jing,
Hui Wang,
Yun-Tao Zhao
Publication year - 2011
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.60.010511
Subject(s) - chaotic , ant colony optimization algorithms , computer science , contraction (grammar) , fuzzy logic , control theory (sociology) , fuzzy control system , controller (irrigation) , variable (mathematics) , algorithm , convergence (economics) , control variable , mathematics , artificial intelligence , control (management) , machine learning , medicine , mathematical analysis , economic growth , agronomy , economics , biology
Chaos and chaos control received extensive attention. The fuzzy controller is used to control chaotic systems in this paper. The accuracy of fuzzy controller is not high and there is contradiction between the number of control rules and accuracy. Accordingly a variable universe fuzzy controller based on ant colony optimization algorithm is proposed. By analyzing the two kinds of contraction-expansion factors, one of them was found unable to satisfy the general contraction-expansion factor condition. A method for optimizing the contraction-expansion factors intelligently via ant colony optimization algorithm is proposed. A variable universe fuzzy controller based on ant colony optimization algorithm is constituted and used to control the Duffing chaotic system. Simulation results show that the control method is superior to the others both in convergence speed and steady-state performance.