Master–slave synchronization of a class of fractional-order Takagi–Sugeno fuzzy neural networks

被引：0
|
作者：
Bei Zhang
Jinsen Zhuang
Haidong Liu
Jinde Cao
Yonghui Xia
机构：
[1] Huaqiao University,School of Mathematics Science
[2] Qufu Normal University,School of Mathematical Sciences
[3] Southeast University,School of Mathematics
[4] Zhejiang Normal University,Department of Mathematics
来源：
Advances in Difference Equations | / 2018卷
关键词：
Fractional-order; Fuzzy neural networks; Synchronization;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, studies on the synchronization of fractional-order Takagi–Sugeno (T-S) fuzzy neural networks are performed. By employing a linear matrix inequality and constructing a skillful Lyapunov function, sufficient conditions are derived to guarantee that the master system synchronizes the slave system. Finally, an example and its simulations are presented to demonstrate the feasibility of the synchronization scheme.
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