Robustness Analysis of BAM Cellular Neural Network with Deviating Arguments of Generalized Type

Wenxiang Fang, Tao Xie, Biwen Li and Junwei Wang

Discrete Dynamics in Nature and Society, 2023, vol. 2023, 1-16

Abstract: By generating equivalent integral equations, we analyze the existence and uniqueness of solutions of bidirectional associative memory cellular neural network (BAMCNN) with deviating arguments firstly. Secondly, the question of robustness of stability (RoS) of BAMCNN with deviating argument is studied. Using the Gronwall inequality, we calculate the upper bounds of the interference intensities that can maintain the initial stability of system. The perturbed BAMCNN will maintain its original stability if the strength of one or more perturbations is less than the upper bounds that we calculated in this study. To demonstrate the validity of the conjectural values, a variety of numerical illustrations are provided.

Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnddns:9570805

DOI: 10.1155/2023/9570805

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