New stability criterion of neural networks with leakage delays and impulses: a piecewise delay method-Reference-Cited by-同舟云学术

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New stability criterion of neural networks with leakage delays and impulses: a piecewise delay method

Published:2015-09-29 Issue:1 Volume:10 Page:85-98
ISSN:1871-4080
Container-title:Cognitive Neurodynamics
language:en
Short-container-title:Cogn Neurodyn

Author:

Kumar R. Suresh,Sugumaran G.,Raja R.,Zhu Quanxin,Raja U. Karthik

Funder

the National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Cognitive Neuroscience

Link

http://link.springer.com/content/pdf/10.1007/s11571-015-9356-y.pdf

Reference43 articles.

1. Arik S (2004) An analysis of exponential stability of delayed neural networks with time-varying delays. Neural Netw 17:1027–1031

2. Akca H, Alassar R, Covachev V, Covacheva Z, Al-Zahrani E (2004) Continuous-time additive Hopfield-type neural networks with impulses. J Math Anal Appl 290:436–451

3. Boyd S, Ghaoui LEI, Feron E, Balakrishnan V (1994) Linear matrix inequalities in system and control theory. SIAM, Philadelphia

4. Cao J, Wang J (2003) Global asymptotic stability of a general class of recurrent neural networks with time-varying delays. IEEE Trans Circuits Syst Part I: Fundam Theory Appl 50:34–44

5. Cao J, Li X (2005) Stability in delayed Cohen–Grossberg neural networks: LMI optimization approach. Phys D 212:54–65

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