Exponential synchronization of the switched uncertain neural networks with mixed delays based on sampled-data control

被引：0

作者：

Ge, Chao ^{[1
]}

Liu, Xin ^{[1
]}

Hua, Changchun ^{[2
]}

Park, Ju H. ^{[3
]}

机构：

[1] College of Electrical Engineering, North China University of Science and Technology, Tangshan, China

[2] Institute of Electrical Engineering, Yanshan University, Qinhuangdao, China

[3] Department of Electrical Engineering, Yeungnam University, Kyongsan, Korea, Republic of

来源：

Journal of the Franklin Institute | 2022年 / 359卷 / 05期

关键词：

Control strategies - Exponential synchronization - Lyapunov-Krasovskii's functional - Mixed delays - Sampled-data control - Sampling instants - Sampling interval - Switched neural networks - Switching signals - Uncertain neural networks;

D O I：

暂无

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学科分类号：

摘要：

The synchronization for a class of switched uncertain neural networks (NNs) with mixed delays and sampled-data control is researched in this paper. When a switching signal occurs in a sampling interval, the controller cannot switch until the next sampling instant. There is a mismatch between the system and the controller. Thus, we devise the control strategy to guarantee that the switched NNs can be synchronized. The proposed Lyapunov-Krasovskii functional (LKF) can make full use of system information. By use of an improved integral inequality, some sufficient stability conditions formed by linear matrix inequalities (LMIs) are derived for the synchronization of switched NNs. Average dwell time (ADT) is obtained as a form of inequality that includes the sampling interval. At last, the feasibility of the proposed method is proved by some numerical examples. © 2022 The Franklin Institute

引用

页码：2259 / 2282