期刊
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
卷 380, 期 -, 页码 563-576出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.physa.2007.02.088
关键词
competitive neural networks; synchronization; Leibniz-Newton formula; Lyapunov functional; time scales
In this paper, the exponential synchronization problem for a class of competitive neural networks is investigated. Moreover, without assuming the active functions to be differentiable and bounded, some exponential synchronization criteria are devised by Lyapunov functionals, linear matrix inequality (LMI) approach, the Leibniz-Newton formula. The conditions are less conservative than existing ones reported in the literature for delayed neural networks. The applicability of the conditions are validated by an illustrative example. (C) 2007 Elsevier B.V. All rights reserved.
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