Impulsive Synchronization of Delayed Chaotic Neural Networks With Actuator Saturation

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...

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Bibliographic Details
Published inIEEE access Vol. 8; pp. 208214 - 208220
Main Authors Ma, Tiedong, Zhang, Jiamin, Xiong, Zhili, Zhang, Zhengle
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
actuator saturation
Actuators
Chaotic communication
chaotic neural networks
Control methods
Control systems
Delays
Impulsive control
Liapunov functions
Linear matrix inequalities
Master-slave
Mathematical analysis
Neural networks
Saturation
Synchronism
Synchronization
Time lag
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Summary: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.
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ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2020.3038320