文献类型：期刊文献

英文题名：Sampled-Data Control for Exponential Synchronization of Delayed Inertial Neural Networks With Aperiodic Sampling and State Quantization

作者：You, Zheng[1];Yan, Huaicheng[1,2];Zhang, Hao[3];Wang, Meng[1];Shi, Kaibo[2]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China;[2]Chengdu Univ, Sch Informat Sci & Engn, Chengdu 610106, Peoples R China;[3]Tongji Univ, Dept Control Sci & Engn, Shanghai 200092, Peoples R China

年份：2024

卷号：35

期号：4

起止页码：5079

外文期刊名：IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS

收录：;EI(收录号：20224112870745);WOS:【SCI-EXPANDED(收录号:WOS:000862352900001)】；

基金：This work was supported in part by the National Natural Science Foundation of China under Grant 62073143, Grant 61922063, and Grant 62003139; in part by the Shanghai International Science and Technology Cooperation Project under Grant 18510711100; in part by the Shanghai and HongKong-Macao-Taiwan Science and Technology Cooperation Project under Grant 19510760200; in part by the Shanghai Shuguang Project under Grant 18SG18; in part by the Natural Science Foundation of Shanghai under Grant 20ZR1415200; and in part by the Innovation Program of Shanghai Municipal Education Commission under Grant 2021-01-07-00-02-E00107.

语种：英文

外文关键词：Aperiodic sampling; heterogeneous time-varying delays (HTVDs); improved looped-functional method; inertial neural networks (INNs); quantized sampled-data (QSD) controller

摘要：This article is devoted to dealing with exponential synchronization for inertial neural networks (INNs) with heterogeneous time-varying delays (HTVDs) under the framework of aperiodic sampling and state quantization. First, by taking the effect of aperiodic sampling and state quantization into consideration, a novel quantized sampled-data (QSD) controller with time-varying control gain is designed to tackle the exponential synchronization of INNs. Second, considering the available information of the lower and upper bounds of each HTVD, a refined Lyapunov-Krasovskii functional (LKF) is proposed. Meanwhile, an improved looped-functional method is utilized to fully capture the characteristic of practical sampling patterns and further relax the positive definiteness requirement for LKF. Consequently, less conservative exponential synchronization conditions with extra flexibility are derived. Finally, a numerical example is employed to demonstrate the effectiveness and advantages of the proposed synchronization method.