Global Mittag-Leffler Synchronization of Fractional-Order Neural Networks Via Impulsive Control

作者:Xujun Yang, Chuandong Li, Tingwen Huang, Qiankun Song, Junjian Huang

摘要

This paper aims at analyzing the impulsive synchronization of fractional-order neural works. Firstly, in view of control theory, by constructing a suitable impulsive response system with the designed controller, the synchronization error system between the drive system and the corresponding response system is given. Afterwards, based on the theory of impulsive differential equation, the theory of fractional differential equation, Lyapunov direct method, and inequality techniques, some effective sufficient criteria are established to guarantee the global Mittag-Leffler stability for the synchronization error system. Finally, several simulation examples are designed to demonstrate the effectiveness and feasibility of the obtained results.

论文关键词:Fractional-order neural networks, Impulse, Mittag-Leffler synchronization, Lyapunov direct method, M-matrix

论文评审过程:

论文官网地址:https://doi.org/10.1007/s11063-017-9744-x