Exponential stability of delayed fuzzy cellular neural networks with diffusion
Overview
Identity
Additional Document Info
Other
View All
Overview
abstract
The exponential stability of delayed fuzzy cellular neural networks (FCNN) with diffusion is investigated. Exponential stability, significant for applications of neural networks, is obtained under conditions that are easily verified by a new approach. Earlier results on the exponential stability of FCNN with time-dependent delay, a special case of the model studied in this paper, are improved without using the time-varying term condition: d(t)/dt < . 2005 Elsevier Ltd. All rights reserved.