文章基本信息

标题：A switching rule for exponential stability of switched recurrent neural networks with interval time-varying delay
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作者：Manlika Rajchakit ; Piyapong Niamsup ; Grienggrai Rajchakit 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：2013
卷号：2013
期号：1
页码：44
DOI：10.1186/1687-1847-2013-44
语种：English
出版社：Hindawi Publishing Corporation
摘要：This paper studies the problem for exponential stability of switched recurrent neural networks with interval time-varying delay. The time delay is a continuous function belonging to a given interval, but not necessarily differentiable. By constructing a set of argumented Lyapunov-Krasovskii functionals combined with the Newton-Leibniz formula, a switching rule for exponential stability of switched recurrent neural networks with interval time-varying delay is designed via linear matrix inequalities, and new sufficient conditions for the exponential stability of switched recurrent neural networks with interval time-varying delay via linear matrix inequalities (LMIs) are derived. A numerical example is given to illustrate the effectiveness of the obtained result.
关键词：neural networks ; switching design ; exponential stability ; interval time-varying delays ; Lyapunov function ; linear matrix inequalities