Journal
NONLINEAR DYNAMICS
Volume 67, Issue 3, Pages 2183-2196Publisher
SPRINGER
DOI: 10.1007/s11071-011-0138-8
Keywords
Synchronization; Reaction-diffusion; Chaotic neural networks; LMIs
Categories
Funding
- Natural Science Foundation of Jiangsu Province [BK2008047]
- NSFC [61074043]
- Qing Lan project
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In this paper, we are concerned with the synchronization problem of a class of stochastic reaction-diffusion neural networks with time-varying delays and Dirichlet boundary conditions. By using the Lyapunov-Krasovskii functional method, feedback control approach and stochastic analysis technology, delay-dependent synchronization conditions including the information of reaction-diffusion terms are presented, which are expressed in terms of linear matrix inequalities (LMIs). The feedback controllers can be constructed by solving the derived LMIs. Finally, illustrative examples are given to show the effectiveness of the proposed technique.
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