Generalized Halanay Inequalities and Asymptotic Behavior of Nonautonomous Neural Networks with Infinite Delays
Dehao Ruan and
Yao Lu ()
Additional contact information
Dehao Ruan: School of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China
Yao Lu: School of Mathematics and Systems Science, Guangdong Polytechnic Normal University, Guangzhou 510665, China
Mathematics, 2024, vol. 12, issue 1, 1-19
Abstract:
This paper focuses on the asymptotic behavior of nonautonomous neural networks with delays. We establish criteria for analyzing the asymptotic behavior of nonautonomous recurrent neural networks with delays by means of constructing some new generalized Halanay inequalities. We do not require to constructi any complicated Lyapunov function and our results improve some existing works. Lastly, we provide some illustrative examples to demonstrate the effectiveness of the obtained results.
Keywords: generalized Halanay inequalities; dissipativity; asymptotic behavior; recurrent neural networks (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/2227-7390/12/1/155/pdf (application/pdf)
https://www.mdpi.com/2227-7390/12/1/155/ (text/html)
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:gam:jmathe:v:12:y:2024:i:1:p:155-:d:1312506
Access Statistics for this article
Mathematics is currently edited by Ms. Emma He
More articles in Mathematics from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().