Passivity Analysis of Coupled Stochastic Neural Networks with Multiweights
Min Cao,
Xun-Wu Yin,
Wen-He Song,
Xue-Mei Sun,
Cheng-Dong Yang,
Shun-Yan Ren and
Ya Jia
Discrete Dynamics in Nature and Society, 2021, vol. 2021, 1-17
Abstract:
In this paper, we devote to the investigation of passivity in two types of coupled stochastic neural networks (CSNNs) with multiweights and incompatible input and output dimensions. First, some new definitions of passivity are proposed for stochastic systems that may have incompatible input and output dimensions. By utilizing stochastic analysis techniques and Lyapunov functional method, several sufficient conditions are respectively developed for ensuring that CSNNs without and with multiple delay couplings can realize passivity. Besides, the synchronization criteria for CSNNs with multiweights are established by employing the results of output-strictly passivity. Finally, two simulation examples are given to illustrate the validity of the theoretical results.
Date: 2021
References: Add references at CitEc
Citations:
Downloads: (external link)
http://downloads.hindawi.com/journals/ddns/2021/9688627.pdf (application/pdf)
http://downloads.hindawi.com/journals/ddns/2021/9688627.xml (application/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:jnddns:9688627
DOI: 10.1155/2021/9688627
Access Statistics for this article
More articles in Discrete Dynamics in Nature and Society from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().