Synchronization of Reaction-Diffusion Delayed Non-Autonomous Fuzzy Cellular Neural Networks

Author

Xiaoyi Du ; Ding, Wei

fYear

2009

fDate

17-19 Oct. 2009

Firstpage

1

Lastpage

5

Abstract

In this paper,we investigate the synchronization of reaction-diffusion delayed non-autonomous fuzzy cellular neural networks(FCNNs) with Dirichlet boundary conditions. The approaches developed here extend the ideas and techniques derived in recent literatures. By using the Lyapunov-Lasall principle of functional differential equations and utilizing some inequality techniques, we can obtain some new stability criterias The result imposes constraint conditions on the network parameters independently of the delay parameter.The result is also easy to check and plays an important role in the designs and applications of globally exponentially stable fuzzy neural circuits.

Keywords

cellular neural nets; fuzzy neural nets; reaction-diffusion systems; synchronisation; Dirichlet boundary condition; Lyapunov-Lasall principle; delay parameter; functional differential equations; globally exponentially stable fuzzy neural circuit; nonautonomous fuzzy cellular neural networks; reaction-diffusion delay; stability criteria; synchronization; Boundary conditions; Cellular networks; Cellular neural networks; Delay effects; Extraterrestrial measurements; Fuzzy neural networks; Fuzzy sets; Neural networks; Neurons; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Engineering and Informatics, 2009. BMEI '09. 2nd International Conference on

Conference_Location

Tianjin

Print_ISBN

978-1-4244-4132-7

Electronic_ISBN

978-1-4244-4134-1

Type

conf

DOI

10.1109/BMEI.2009.5304542

Filename

5304542