Synchronization of Complex-valued Inertial Neural Networks with Time-varying Delay

被引：0
|
作者：
Zhang, Jin [1 ]
Shi, Yun [1 ]
Gao, Yanbo [2 ]
机构：
[1] Nantong Inst Technol, Sch Gen Educ, Nantong 226001, Peoples R China
[2] Nantong Univ, Sch Sci, Nantong 226019, Peoples R China
来源：
2022 41ST CHINESE CONTROL CONFERENCE (CCC) | 2022年
关键词：
Synchronization; Time-varying delay; Complex-valued inertial neural networks; STABILITY ANALYSIS; PASSIVITY;
D O I：
暂无
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 paper addresses the problem of synchronization for delayed complex-valued inertial neural networks. By designing a new Lyapunov-Krasovskii functional (LKF) containing a triple integral term, applying the complex-valued Jensen's inequality, Wirtinger-based inequality, reciprocally convex combination method and linear matrix inequality (LMI) technique to estimate the derivative of the LKF, the delay-dependent synchronization criterion in terms of LMIs are newly obtained. Finally, a numerical example is given to illustrate the effectiveness of the proposed scheme.
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页码：498 / 503
页数：6
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