一类时滞神经网络的H_∞观测器设计  

The design of H_∞ state estimator for a class of neural networks with delays

作　　者：韩彦武[1] 汤红吉[1] HAN Yan-wu;TANG Hong-ji(School of Science,Nantong University,Nantong 226009,China)

机构地区：[1]南通大学理学院,江苏南通226009

出　　处：《高师理科学刊》2018年第11期9-11,14,共4页Journal of Science of Teachers＇College and University

摘　　要：研究了一类时滞神经网络的H_∞观测器设计问题.通过构造适当的Lyapunov泛函,借助于倒凸组合和Wirtinger不等式,以线性矩阵不等式的形式给出了观测器的设计方法.通过数值实例验证了所给方法的有效性.The problem of H∞estimator for a class of neural networks with delays is studied.Through constructing an appropriate Lyapunov functional,designs the estimator in terms of linear matrix equalities by virtue of reciprocally convex and Wirtinger inequality.A numerical example is given to demonstrate the effectiveness of the method.

关 键 词：时滞 神经网络 H∞观测器 线性矩阵不等式 

分 类 号：O175[理学—数学]