控制理论(社会学)
同步(交流)
控制器(灌溉)
计算机科学
网络数据包
数据包丢失
人工神经网络
线性矩阵不等式
数学
控制(管理)
数学优化
人工智能
频道(广播)
电信
计算机网络
生物
农学
作者
Feng-Liang Zhao,Zipeng Wang,Huai‐Ning Wu,Jinliang Wang,Tingwen Huang
出处
期刊:Neurocomputing
[Elsevier BV]
日期:2022-12-01
卷期号:514: 563-573
被引量:2
标识
DOI:10.1016/j.neucom.2022.09.105
摘要
For space-varying reaction–diffusion neural networks (RDNNs), this article mainly studies the output synchronization via an event-triggered sampled-data (ETSD) control under spatially point measurements (SPMs) with random packet losses. To reduce the communication burden, an ETSD control scheme is adopted to decrease the unnecessary SD and the update frequency of the controller. Meanwhile, the problem of random packet losses in the communication channels from controller to actuator is considered. Some synchronization criteria based on spatial linear matrix inequalities (SLMIs) are established through an ETSD controller under SPMs with random packet losses to guarantee the mean square exponential stability of synchronization error system with drive and response dynamics via utilizing inequality techniques and Lyapunov functional. Furthermore, we express SLMIs as LMIs for solving the ETSD control design problem for output synchronization of space-varying RDNNs. Finally, the effectiveness of the proposed method is demonstrated by one numerical example.
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