Design disturbance attenuating controller for memristive recurrent neural networks with mixed time-varying delays

被引：0
作者：
Jianying Xiao
Shouming Zhong
Fang Xu
机构：
[1] Southwest Petroleum University,School of Sciences
[2] University of Electronic Science and Technology of China,School of Mathematical Sciences
来源：
Advances in Difference Equations | / 2018卷
关键词：
Memristor; Disturbance attenuating control; Filippov; Time-varying delays; Lyapunov–Razumikhin Theorem;
D O I：
暂无
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学科分类号：
摘要：
This paper investigates the design of disturbance attenuating controller for memristive recurrent neural networks (MRNNs) with mixed time-varying delays. By applying the combination of differential inclusions, set-valued maps and Lyapunov–Razumikhin, a feedback control law is obtained in the simple form of linear matrix inequality (LMI) to ensure disturbance attenuation of memristor-based neural networks. Finally, a numerical example is given to show the effectiveness of the proposed criteria.
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