Title :
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
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;
Conference_Titel :
Natural Computation (ICNC), 2012 Eighth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4577-2130-4
DOI :
10.1109/ICNC.2012.6234624
