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

被引:2
作者
Xiao, Jianying [1 ]
Zhong, Shouming [2 ]
Xu, Fang [1 ]
机构
[1] Southwest Petr Univ, Sch Sci, Chengdu, Sichuan, Peoples R China
[2] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu, Sichuan, Peoples R China
来源
ADVANCES IN DIFFERENCE EQUATIONS | 2018年
基金
美国国家科学基金会;
关键词
Memristor; Disturbance attenuating control; Filippov; Time-varying delays; Lyapunov-Razumikhin Theorem; GLOBAL EXPONENTIAL STABILITY; ROBUST STABILITY; SYNCHRONIZATION; SYSTEMS; STABILIZATION; PASSIVITY; CRITERION;
D O I
10.1186/s13662-018-1641-8
中图分类号
O29 [应用数学];
学科分类号
070104 ;
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.
引用
收藏
页数:14
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