Open AccessAnti-periodic solutions of Cohen-Grossberg shunting inhibitory cellular neural networks on time scales
Author(s) -
Changjin Xu,
Yicheng Pang,
Peiluan Li
Publication year - 2016
Publication title -
the journal of nonlinear sciences and applications
Language(s) - English
Resource type - Journals
eISSN - 2008-1901
pISSN - 2008-1898
DOI - 10.22436/jnsa.009.05.38
Subject(s) - shunting , mathematics , inhibitory postsynaptic potential , artificial neural network , control theory (sociology) , neuroscience , artificial intelligence , computer science , psychology , control (management)
In this paper, Cohen-Grossberg shunting inhibitory cellular neural networks(CGSICNNs) on time scales are investigated. Some sufficient conditions which ensure the existence and global exponential stability of anti-periodic solutions for a class of CGSICNNs on time scales are established. Numerical simulations are carried out to illustrate the theoretical findings. The results obtained in this paper are of great significance in designs and applications of globally stable anti-periodic Cohen-Grossberg shunting inhibitory cellular neural networks. c ©2016 All rights reserved.
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