Periodicity of Cohen-Grossberg-type fuzzy neural networks with distributed delays and impulses

Author

Wang, Xiao ; Li, Zuoan

Author_Institution

Sch. of Comput. Sci., Sichuan Univ. of Sci. & Eng., Zigong, China

fYear

2012

fDate

29-31 May 2012

Firstpage

25

Lastpage

29

Abstract

In this paper, a class of Cohen-Grossberg-type fuzzy neural networks with distributed delays and impulses is investigated. By employing differential inequality and M-matrix theory, some sufficient conditions ensuring the existence and global exponential stability of the periodic oscillatory solution for Cohen-Grossberg-type fuzzy neural networks with distributed delays and impulses are obtained. An examples is given to show the effectiveness of the obtained results.

Keywords

asymptotic stability; delays; fuzzy neural nets; matrix algebra; Cohen-Grossberg-type fuzzy neural networks; M-matrix theory; differential inequality; distributed delays; distributed impulses; global exponential stability; periodic oscillatory solution; Asymptotic stability; Cellular neural networks; Delay; Fuzzy neural networks; Neurons; Stability analysis; Vectors; Cohen-Grossberg-type fuzzy neural networks; Periodic oscillatory solution; distributed delays; exponential stability; impulses;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation (ICNC), 2012 Eighth International Conference on

Conference_Location

Chongqing

ISSN

2157-9555

Print_ISBN

978-1-4577-2130-4

Type

conf

DOI

10.1109/ICNC.2012.6234624

Filename

6234624