Network-based synchronous control of memristive neural networks with denial of service attacks
作者单位：School of AutomationNanjing University of Science and Technology
会议名称：《第三十九届中国控制会议》
会议日期：2020年
学科分类：080903[工学-微电子学与固体电子学] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081104[工学-模式识别与智能系统] 0835[工学-软件工程] 0811[工学-控制科学与工程] 0812[工学-计算机科学与技术（可授工学、理学学位）]
关 键 词：Memristive Neural Networks Synchronization DoS attacks Network-based
摘 要：This letter is concerned with the issue of global asymptotically synchronization of two neural networks with the denial of service attacks in the communication channels. The memristive neural networks which are with memory, adaptability and high parallel processing ability are considered. A master-slave framework with networks attacks are proposed. Compared with the prior literatures, the DoS attack, which can destroy the network communication, has been modeled by Bernoulli distributed variable. Some sufficient conditions are derived to ensure the synchronization of networks by using Lyapunov function ***, a numerical example is given to illustrate the effectiveness of obtained results.