文章基本信息

标题：Robusts Adaptive Interval Type II Fuzzy Neural Network Control for the Synchronization of Uncertain Chaotic Systems
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作者：Xiang-jian Chen ; Di Li
期刊名称：International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN：2005-4254
出版年度：2015
卷号：8
期号：12
页码：17-26
DOI：10.14257/ijsip.2015.8.12.03
出版社：SERSC
摘要：The proposed RAITIIFNNC system is comprised of a interval type II fuzzy neural network identifier and a robust controller. The identifier is utilized for online estimation of the compound uncertainties. The robust controller is used to attenuate the effects of the approximation error so that the perfect tracking and synchronization of chaotic systems are achieved. All the parameter learning algorithms are derived based on Lyapunov stability theorem to ensure network convergence as well as stable synchronization performance. From the simulation example, to synchronize two Lorenz chaotic systems, it has been shown that the effectiveness of the proposed method has been verified.
关键词：Uncertain chaotic systems; Chaos synchronization; Adaptive control; ; Interval type II fuzzy neural network; Lyapunov stability