Exponential stability of delayed Cellular Neural Networks with large impulses. (1st October 2010)

• Record Type: Journal Article
• Authors: Sheng, Li; Yang, Huizhong
• Is Part Of: International journal of systems, control and communications. Volume 2:Number 4(2010)
• Page Start: 391
• Page End: 400
• Publication Date: 2010-10-01
• Subjects: exponential stability -- CNNs -- cellular neural networks -- large impulses -- time-varying delays; Computer networks -- Periodicals; Intelligent control systems -- Periodicals; Systems engineering -- Periodicals; 004.605
• Languages: English
• ISSNs: 1755-9340

Abstract

The problem of the exponential stability for a class of delayed Cellular Neural Networks (CNNs) which are subject to large impulses is considered. By using the Lyapunov functional method and applying Young and Halanay inequalities, some sufficient conditions have been derived to ensure the exponential stability of the neural networks. An example is given to show the effectiveness of the presented criteria.