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Exponential Stability of Pseudo Almost Periodic Solutions for Neutral Type Cellular Neural Networks with D Operator

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Abstract

This article is concerned with a class of neutral type cellular neural networks with D operator. By using Lyapunov functional method and differential inequality techniques, we establish a novel result to ensure the existence and global exponential stability of pseudo almost periodic solutions for the addressed system. In addition, an example and its numerical simulations are given to illustrate our result.

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Authors and Affiliations

  1. School of mathematics and finance, Xiangnan University, Chenzhou, 423000, Hunan, People’s Republic of China

    Yanli Xu

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  1. Yanli Xu
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Correspondence to Yanli Xu.

Additional information

This work was supported by the National Natural Science Foundation of China. (11471278), the Natural Science Foundation of Hunan Province (Grant No. 14JJ2133), ”Twelfth five-year” education scientific planning project of hunan province (XJK014CGD084).

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Xu, Y. Exponential Stability of Pseudo Almost Periodic Solutions for Neutral Type Cellular Neural Networks with D Operator. Neural Process Lett 46, 329–342 (2017). https://doi.org/10.1007/s11063-017-9584-8

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  • DOI: https://doi.org/10.1007/s11063-017-9584-8

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