Delay‐Dependent Dynamics of Switched Cohen‐Grossberg Neural Networks with Mixed Delays

Peng Wang, Haijun Hu, Zheng Jun, Yanxiang Tan and Li Liu

Abstract and Applied Analysis, 2013, vol. 2013, issue 1

Abstract: This paper aims at studying the problem of the dynamics of switched Cohen‐Grossberg neural networks with mixed delays by using Lyapunov functional method, average dwell time (ADT) method, and linear matrix inequalities (LMIs) technique. Some conditions on the uniformly ultimate boundedness, the existence of an attractors, the globally exponential stability of the switched Cohen‐Grossberg neural networks are developed. Our results extend and complement some earlier publications.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1155/2013/826426

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:wly:jnlaaa:v:2013:y:2013:i:1:n:826426

Access Statistics for this article

More articles in Abstract and Applied Analysis from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().