Impulsive Synchronization of Delayed Chaotic Neural Networks With Actuator Saturation

被引：1
|
作者：
Ma, Tiedong [1 ,2 ,3 ,4 ]
Zhang, Jiamin [2 ,3 ]
Xiong, Zhili [5 ]
Zhang, Zhengle [2 ,3 ]
机构：
[1] Chongqing Technol & Business Univ, Natl Res Base Intelligent Mfg Serv, Chongqing 400067, Peoples R China
[2] Chongqing Univ, Minist Educ, Key Lab Dependable Serv Comp Cyber Phys Soc, Chongqing 400044, Peoples R China
[3] Chongqing Univ, Sch Automat, Chongqing 400044, Peoples R China
[4] Chongqing Normal Univ, Sch Math Sci, Key Lab OCME, Chongqing 400047, Peoples R China
[5] Natl Peoples Congress, Shenzhen Sch, Shenzhen 518119, Peoples R China
来源：
IEEE ACCESS | 2020年 / 8卷
关键词：
Synchronization; Actuators; Neural networks; Delays; Control systems; Chaotic communication; Master-slave; Impulsive control; synchronization; actuator saturation; chaotic neural networks; MULTIAGENT SYSTEMS;
D O I：
10.1109/ACCESS.2020.3038320
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This article focuses on the impulsive synchronization of chaotic neural networks (CNNs) with time-varying delays subject to actuator saturation. By constructing discontinuous Lyapunov function and employing linear matrix inequality (LMI) approach, some sufficient conditions are derived to guarantee the synchronization object of the delayed chaotic neural networks. In addition, the control methods in this article have no strict requirements on the size of time delay and the actuator saturation domain, which is more flexible and practical in real system. Finally, a numerical example is given to verify the effectiveness of the proposed method.
引用
收藏
页码：208214 / 208220
页数：7
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