Global μ -Stability of Impulsive Complex-Valued Neural Networks with Leakage Delay and Mixed Delays

Xiaofeng Chen, Qiankun Song, Yurong Liu and Zhenjiang Zhao

Abstract and Applied Analysis, 2014, vol. 2014, 1-14

Abstract:

The impulsive complex-valued neural networks with three kinds of time delays including leakage delay, discrete delay, and distributed delay are considered. Based on the homeomorphism mapping principle of complex domain, a sufficient condition for the existence and uniqueness of the equilibrium point of the addressed complex-valued neural networks is proposed in terms of linear matrix inequality (LMI). By constructing appropriate Lyapunov-Krasovskii functionals, and employing the free weighting matrix method, several delay-dependent criteria for checking the global -stability of the complex-valued neural networks are established in LMIs. As direct applications of these results, several criteria on the exponential stability, power-stability, and log-stability are obtained. Two examples with simulations are provided to demonstrate the effectiveness of the proposed criteria.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:397532

DOI: 10.1155/2014/397532

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