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Yang, Xinsong; Zhou, Mengzhe; Cao, Jinde

Synchronization in array of coupled neural networks with unbounded distributed delay and limited transmission efficiency. (English) Zbl 1271.92007

Abstr. Appl. Anal. 2013, Article ID 402031, 12 p. (2013).
Summary: This paper investigates global synchronization in an array of coupled neural networks with time-varying delays and unbounded distributed delays. In the coupled neural networks, limited transmission efficiency between coupled nodes, which makes the model more practical, is considered. Based on a novel integral inequality and the Lyapunov functional method, sufficient synchronization criteria are derived. The derived synchronization criteria are formulated by linear matrix inequalities (LMIs) and can be easily verified by using Matlab LMI Toolbox. It is displayed that, when some of the transmission efficiencies are limited, the dynamics of the synchronized state are different from those of the isolated node. Furthermore, the transmission efficiency and inner coupling matrices between nodes play important roles in the final synchronized state. The derivative of the time-varying delay can be any given value, and the time-varying delay can be unbounded. The outer-coupling matrices can be symmetric or asymmetric. Numerical simulations are finally given to demonstrate the effectiveness of the theoretical results.

MSC:

92B20 Neural networks for/in biological studies, artificial life and related topics
92B25 Biological rhythms and synchronization
93C42 Fuzzy control/observation systems
15A45 Miscellaneous inequalities involving matrices
92-08 Computational methods for problems pertaining to biology

Software:

LMI toolbox; Matlab
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Full Text: DOI
OA License

References:

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