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Synchronization of competitive neural networks with different time scales

โœ Scribed by Xuyang Lou; Baotong Cui

Publisher
Elsevier Science
Year
2007
Tongue
English
Weight
235 KB
Volume
380
Category
Article
ISSN
0378-4371

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โœฆ Synopsis

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.

๐Ÿ“œ SIMILAR VOLUMES

Synchronization of complex dynamical net
Synchronization of complex dynamical networks with time delays
โœ C.P. Li; W.G. Sun; J. Kurths ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 410 KB

In the present paper, two kinds of dynamical complex networks are considered. The first is that elements of every node have different time delays but all nodes in such networks have the same time-delay vector. The second is that different nodes have different time-delay vectors, and the elements of