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Power Anti-Synchronization of Neural Networks with Proportional Delay Under Impulsive Effects

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Abstract

This paper studies global power anti-synchronization of two coupling neural networks with proportional delay under impulsive effects. Some conditions guaranteeing the anti-synchronization are presented from the viewpoints of impulsive control and impulsive perturbation. Two illustrative examples are given to show the feasibility of the proposed anti-synchronization strategies.

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Authors and Affiliations

  1. School of Mathematics and Computational Science, Wuyi University, Jiangmen, 529020, Guangdong, China

    Kaizhong Guan & Runlong Chen

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  1. Kaizhong Guan
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  2. Runlong Chen
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Correspondence to Kaizhong Guan.

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Guan, K., Chen, R. Power Anti-Synchronization of Neural Networks with Proportional Delay Under Impulsive Effects. Acta Appl Math 178, 13 (2022). https://doi.org/10.1007/s10440-022-00486-x

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