Synchronization of coupled reaction-diffusion neural networks with switching topology via generalized intermittent control and adaptive strategy
作者： Binglong Lu , Haijun Jiang , Cheng Hu , Abdujelil Abdurahman
DOI: 10.23919/CHICC.2017.8027995
关键词:
摘要: The synchronization problem of linearly coupled reaction-diffusion neural networks with switching topology is discussed in this paper. At first, a generalized intermittent control and its adaptive strategy are introduced. This type can unify the traditional periodic aperiodic case, gains depend on space as well time. Moreover, based designed protocol, some novel readily verified criteria, which have close relationship diffusion coefficients strengths, established to guarantee considered networks. Finally, effectiveness proposed shown by numerical example.
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