文章基本信息

标题：State estimation for complex-valued memristive neural networks with time-varying delays
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作者：Runan Guo ; Ziye Zhang ; Ming Gao 等
期刊名称：Advances in Difference Equations
印刷版ISSN：1687-1839
电子版ISSN：1687-1847
出版年度：2018
卷号：2018
期号：1
页码：118
DOI：10.1186/s13662-018-1575-1
语种：English
出版社：Hindawi Publishing Corporation
摘要：This paper focuses on the state estimation problem for complex-valued memristive neural networks with time-varying delays. By utilizing Lyapunov stability theory and some matrix inequality techniques, based on a novel Lyapunov functional, a sufficient delay-dependent condition which guarantees that the error-state system is global asymptotically stable is firstly derived for the addressed system, and a suitable state estimator is also designed. Finally, an example is given to illustrate the present method.
关键词：State estimation ; Memristive neural networks ; Complex-valued systems ; Time-varying delays