Robust stability analysis of impulsive complex-valued neural networks with mixed time delays and parameter uncertainties-Reference-Cited by-同舟云学术

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Robust stability analysis of impulsive complex-valued neural networks with mixed time delays and parameter uncertainties

Published:2018-02-20 Issue:1 Volume:2018 Page:
ISSN:1687-1847
Container-title:Advances in Difference Equations
language:en
Short-container-title:Adv Differ Equ

Author:

Tan Yuanshun,Tang Sanyi,Chen Xiaofeng

Funder

National Natural Science Foundation of China

Program of Chongqing Innovation Team Project in University

Natural Science Foundation of Chongqing

Chongqing Municipal Education Commission

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Link

http://link.springer.com/article/10.1186/s13662-018-1521-2/fulltext.html

Reference41 articles.

1. Hirose, A.: Complex-Valued Neural Networks: Theories and Applications. World Scientific, Singapore (2004)

2. Rao, V.S.H., Murthy, G.R.: Global dynamics of a class of complex valued neural networks. Int. J. Neural Syst. 18(2), 165–171 (2008)

3. Tanaka, G., Aihara, K.: Complex-valued multistate associative memory with nonlinear multilevel functions for gray-level image reconstruction. IEEE Trans. Neural Netw. 20, 1463–1473 (2009)

4. Zeng, Z., Zheng, W.X.: Multistability of neural networks with time-varying delays and concave-convex characteristics. IEEE Trans. Neural Netw. Learn. Syst. 23(2), 293–305 (2012)

5. Yang, R., Wu, B., Liu, Y.: A Halanay-type inequality approach to the stability analysis of discrete-time neural networks with delays. Appl. Math. Comput. 265, 696–707 (2015)

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