
Delayed fuzzy control of a unified chaotic system
Author(s) -
Xin Gao,
Xingwen Liu
Publication year - 2007
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.56.84
Subject(s) - control theory (sociology) , chaotic , computer science , controller (irrigation) , fuzzy logic , state (computer science) , chaotic systems , fuzzy control system , linear matrix inequality , stability (learning theory) , chaos (operating system) , lyapunov stability , control (management) , full state feedback , mathematics , mathematical optimization , algorithm , artificial intelligence , computer security , machine learning , agronomy , biology
In this paper, we have studied a new delay-dependent chaos control approach via delayed state feedback. This approach uses Takagi-Sugeno fuzzy model to represent a unified chaotic system and adopts the theory of Lyapunov-Krasovskii stability and linear matrix inequalities (LMIs). Simulation results show that the delay-dependent state feedback controller we designed can stabilize the unified chaotic system to its equilibrium.