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Different impulsive effects on synchronization of fractional-order memristive BAM neural networks
Authors:Lingzhong Zhang  Yongqing Yang
Affiliation:1.Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education),Jiangnan University,Wuxi,China;2.School of Science,Jiangnan University,Wuxi,China
Abstract:This paper considered exponential synchronization in fractional-order memristive BAM neural networks (FMBAMNNs) with time delay via switching jumps mismatch. Exponential function is introduced for studying fractional-order differential system. According to double-layer structure of FMBAMNNs, two controllers are designed for the response FMBAMNNs. Particularly, more wide ranges of impulsive effects, which are affected by fractional-order (alpha ), are discussed in detail. One case is that the impulsive effect contributes to system convergence, and the other is that the impulsive effect destroys the system convergence. Based on the fractional stability theory and the definition of average impulsive interval, several criteria for achieving synchronization of FMBAMNNs are established. For different impulsive effects, the rate of convergence is precisely expressed. Finally, numerical examples verify the validity of the theoretical results.
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