Impulsive effects on Clifford-valued neural networks with time-varying delays: An asymptotic stability analysis

作者：

Highlights：

• this is the first study, on the global asymptotic stability of Clifford valued NNs with impulsive effects.

• the results of our study are more general and newer as compared with those in the literature, even when our considered model degenerates into real-valued, complex-valued, or quaternion-valued systems.

• Compared with the related literature, the conditions we need are easy to satisfy and the method used in this study can be easily applied for analyzing other dynamic properties of different delayed Clifford-valued NN models.

摘要

•this is the first study, on the global asymptotic stability of Clifford valued NNs with impulsive effects.•the results of our study are more general and newer as compared with those in the literature, even when our considered model degenerates into real-valued, complex-valued, or quaternion-valued systems.•Compared with the related literature, the conditions we need are easy to satisfy and the method used in this study can be easily applied for analyzing other dynamic properties of different delayed Clifford-valued NN models.

论文关键词：Global asymptotic stability,Clifford-valued neural network,Lyapunov fractional,Time-varying delays,Impulsive effects

论文评审过程：Received 6 November 2020, Revised 1 March 2021, Accepted 14 April 2021, Available online 9 May 2021, Version of Record 9 May 2021.

论文官网地址：https://doi.org/10.1016/j.amc.2021.126309