Anti-periodic solutions for neutral type FCNNs with time-varying delays and \(D\) operator on time scales

The Journal of Nonlinear Sciences and its Applications

BingLi²  YongkunLi³ 

[1] Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, People'School of Mathematics and Computer Science,YunnanNationalities University, Kunming, Yunnan 650500, People's Republic of China

关键词: Fuzzy cellular neural networks;    anti-periodic solution;    \(D\) operator;    global exponential stability;    time scales;   

DOI  :  10.22436/jnsa.010.11.45

学科分类：社会科学、人文和艺术（综合）

来源: Shomal University

【 摘 要 】

In this paper, we consider a class of neutral type fuzzy cellular neural networks with time-varying delays and \(D\) operator on time scales. Based on inequality analysis techniques on time scales and a fixed point theorem andthe theory of calculus on time scales, we obtain the existence and global exponential stability of anti-periodic solutions for this class of the networks. Finally, a numerical example is given to illustrate the feasibility of our results.

【 授权许可】

Unknown