The stability of memristive multidirectional associative memory neural networks with time-varying delays in the leakage terms via sampled-data control
Weiping Wang,
Xin Yu,
Xiong Luo,
Long Wang,
Lixiang Li,
Jürgen Kurths,
Wenbing Zhao and
Jiuhong Xiao
PLOS ONE, 2018, vol. 13, issue 9, 1-26
Abstract:
In this paper, we propose a new model of memristive multidirectional associative memory neural networks, which concludes the time-varying delays in leakage terms via sampled-data control. We use the input delay method to turn the sampling system into a continuous time-delaying system. Then we analyze the exponential stability and asymptotic stability of the equilibrium points for this model. By constructing a suitable Lyapunov function, using the Lyapunov stability theorem and some inequality techniques, some sufficient criteria for ensuring the stability of equilibrium points are obtained. Finally, numerical examples are given to demonstrate the effectiveness of our results.
Date: 2018
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0204002 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 04002&type=printable (application/pdf)
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:plo:pone00:0204002
DOI: 10.1371/journal.pone.0204002
Access Statistics for this article
More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().