Global Asymptotical Stability of Neutral-Type Neural Networks with Operator and Mixed Delays

Qing Yang, Bo Du and Xiwang Cheng

Mathematical Problems in Engineering, 2020, vol. 2020, 1-12

Abstract:

In this manuscript, we investigate the stability problems of neutral-type neural networks with operator and mixed delays. Some sufficient conditions are obtained for guaranteeing the existence, uniqueness, and global asymptotical stability of periodic solutions to the considered neural networks. Finally, a numerical example is performed to illustrate the theoretical results.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2020/3096762.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2020/3096762.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:3096762

DOI: 10.1155/2020/3096762

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().