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.

引用

页码：498 / 503

页数：6

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