Exponential synchronization for arrays of coupled neural networks with time-delay couplings
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This paper deals with global exponential synchronization in arrays of coupled delayed neural networks with both delayed coupling and one single delayed one. Through employing Kronecker product and convex combination technique, two novel synchronization criteria are presented in terms of linear matrix inequalities (LMIs), and these conditions are dependent on the bounds of both time-delay and its derivative. Through employing Matlab LMI Toolbox and adjusting some matrix parameters in the derived results, we can realize the design and applications of the addressed systems, which shows that our methods improve and extend those reported methods. The efficiency and applicability of the proposed results can be demonstrated by three numerical examples with simulations.
KeywordsCoupled neural networks exponential synchronization LMI approach Lyapunov-Krasovskii functional time-varying delay
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- W. L. Guo, F. Austin, and S. H. Chen, “Global synchronization of nonlinearly coupled complex networks with non-delayed and delayed coupling,” Commun. in Nonlinear Sci. and Numerical Simulation, Available online 2009.Google Scholar