无边界分布时滞惯性忆阻神经网络的反同步控制研究  

Research on Anti⁃synchronization Control of Inertial Memristor Neu⁃ral Network with Unbounded Distributed Time Delays

作　　者：何佳昊 李小凡[1] 姚金泽 黄鑫 HE Jiahao;LI Xiaofan;YAO Jinze;HUANG Xin(School of Electrical Engineering,Yancheng Institute of Technology,Yancheng Jiangsu 224051,China)

机构地区：[1]盐城工学院电气工程学院,江苏盐城224051

出　　处：《盐城工学院学报（自然科学版）》2023年第1期38-43,共6页Journal of Yancheng Institute of Technology:Natural Science Edition

摘　　要：为研究一类具有无边界分布时滞惯性忆阻神经网络系统的反同步问题,根据反同步误差系统,采用非降阶法设计一个合适的自适应切换控制器,再构造合适的Lyapunov泛函,采用不等式技巧等得到系统反同步的充分条件,最后通过数值仿真验证了设计的自适应切换控制器的有效性。In order to study the anti-synchronization problem of a class of inertial memristor neural networks(IMNNs)with un⁃bounded distributed time delays,according to the anti-synchronization error system,a suitable adaptive switching controller is de⁃signed using the non-reduced-order method,and then the appropriate Lyapunov functional is constructed.Sufficient conditions for the anti-synchronization of the system are obtained using inequality techniques.Finally,the effectiveness of the designed adaptive switching controller is verified by numerical simulation.

关 键 词：惯性忆阻神经网络 无边界分布时滞 反同步控制 忆阻器 自适应切换控制器 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]