Predefined‐time synchronization of coupled competitive neural networks

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Huang, Yanli and Gao, Yaxin and Su, Limei and Chiu Wong, Tse (2025) Predefined‐time synchronization of coupled competitive neural networks. International Journal of Adaptive Control and Signal Processing. ISSN 1099-1115 (https://doi.org/10.1002/acs.3961)

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Abstract

The aim of this paper is to study the predefined-time synchronization of coupled competitive neural networks (NNs) as well as the impacts of time-varying delays on the predefined-time synchronization performance. First, the models for drive and response systems of coupled competitive NNs with and without coupling delays are established for the first time in this work. After that, the predefined-time synchronization of the proposed network models is investigated, and some new predefined-time synchronization conditions for the considered drive and response systems are derived by designing novel bilayer controllers and using some inequality techniques. It is worth mentioning that the desired convergence time can be adjusted by presetting the parameters in the controllers in advance. Moreover, the synchronization is achieved in the predefined time regardless of the initial value of the coupled competitive NNs. At last, the proposed synchronization conditions are validated through two examples.

ORCID iDs

Huang, Yanli, Gao, Yaxin, Su, Limei and Chiu Wong, Tse ORCID logoORCID: https://orcid.org/0000-0001-8942-1984;
CORE (COnnecting REpositories)