State feedback synchronization control of impulsive neural networks with mixed delays and linear fractional uncertainties

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摘要

This study examines the synchronization problem of impulsive neural networks with mixed time-varying delays and linear fractional uncertainties. The mixed time-varying delays include distributed leakage, discrete and distributed time-varying delays. Moreover, the restrictions on derivatives of time-varying delays with upper bounds to smaller than one is relaxed by introducing free weight matrices. Based on suitable Lyapunov–Krasovskii functionals and integral inequalities, linear matrix inequality approach is used to derive the sufficient conditions that guarantee the synchronization criteria of impulsive neural networks via delay dependent state feedback control. Finally, three numerical examples are given to show the effectiveness of the theoretical results.

论文关键词:Impulsive effects,Lyapunov–Krasovskii functional,Neural networks,Synchronization,Time varying delays,

论文评审过程:Received 28 March 2017, Revised 10 October 2017, Accepted 16 October 2017, Available online 11 November 2017, Version of Record 11 November 2017.

论文官网地址:https://doi.org/10.1016/j.amc.2017.10.038