Open AccessUncertain Nonlinear Chaotic Gyros Synchronization by Using Adaptive Fuzzy Control
Author(s) -
Heng Liu,
Bing Hou,
Wei Xiang
Publication year - 2013
Publication title -
international journal of online and biomedical engineering (ijoe)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.169
H-Index - 18
ISSN - 2626-8493
DOI - 10.3991/ijoe.v9i3.2601
Subject(s) - synchronizing , control theory (sociology) , synchronization (alternating current) , chaotic , controller (irrigation) , nonlinear system , convergence (economics) , computer science , fuzzy logic , sliding mode control , bounded function , adaptive control , fuzzy control system , control (management) , control engineering , mathematics , engineering , artificial intelligence , physics , economic growth , telecommunications , computer network , mathematical analysis , economics , biology , channel (broadcasting) , agronomy , transmission (telecommunications) , quantum mechanics
In this paper, the control problem of synchronizing two identical chaotic gyros systems in the presence of system uncertainties is addressed by using adaptive fuzzy sliding mode control, while the structure of the gyros and the bounds of the system uncertainties are entirely unknown. The controller can guarantee a fast convergence of the synchronization errors and all of the signals in the closed-loop system remain bounded. Finally simulation results are provided to illustrate the effectiveness of the proposed control method.
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