Exponential stability for delayed complex-valued neural networks with reaction-diffusion terms
نویسندگان
چکیده
Abstract In this study, we investigate reaction-diffusion complex-valued neural networks with mixed delays. The delays include both time-varying and infinite distributed Criteria are derived to ensure the existence, uniqueness, exponential stability of equilibrium state addressed system on basis M-matrix properties homeomorphism mapping theories as well vector Lyapunov function method. results demonstrate positive effect stability, which further improves existing conditions. Finally, analysis several examples is compared present verify correctness reduced conservatism primary results.
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ژورنال
عنوان ژورنال: Advances in Difference Equations
سال: 2021
ISSN: ['1687-1839', '1687-1847']
DOI: https://doi.org/10.1186/s13662-020-03184-w