Stability Analysis for Memristor-Based Complex-Valued Neural Networks with Time Delays

In this paper, the problem of stability analysis for memristor-based complex-valued neural networks (MCVNNs) with time-varying delays is investigated extensively. This paper focuses on the exponential stability of the MCVNNs with time-varying delays. By means of the Brouwer’s fixed-point theorem and...

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Detalles Bibliográficos
Autores principales: Hou, Ping, Hu, Jun, Gao, Jie, Zhu, Peican
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514603/
https://www.ncbi.nlm.nih.gov/pubmed/33266836
http://dx.doi.org/10.3390/e21020120

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514603/
https://www.ncbi.nlm.nih.gov/pubmed/33266836
http://dx.doi.org/10.3390/e21020120

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