Delay-dependent stability criteria for neutral-type neural networks with interval time-varying delay signals under the effects of leakage delay-Reference-Cited by-同舟云学术

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Delay-dependent stability criteria for neutral-type neural networks with interval time-varying delay signals under the effects of leakage delay

Published:2018-02-12 Issue:1 Volume:2018 Page:
ISSN:1687-1847
Container-title:Advances in Difference Equations
language:en
Short-container-title:Adv Differ Equ

Author:

Manivannan R.,Samidurai R.,Cao Jinde,Alsaedi Ahmed,Alsaadi Fuad E.

Funder

the Department of Science and Technology - Science and Engineering Research Board

Government of India, New Delhi, for its financial support through the research project

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Algebra and Number Theory,Analysis

Link

http://link.springer.com/article/10.1186/s13662-018-1509-y/fulltext.html

Reference50 articles.

1. Gu, K., Kharitonov, V., Chen, J.: Stability of Time-Delay Systems. Birkhäuser, Boston (2003)

2. Cao, J., Ho, D.W.C.: A general framework for global asymptotic stability analysis of delayed neural networks based on LMI approach. Chaos Solitons Fractals 24, 1317–1329 (2005)

3. Manivannan, R., Samidurai, R., Zhu, Q.: Further improved results on stability and dissipativity analysis of static impulsive neural networks with interval time-varying delays. J. Franklin Inst. 354, 6312–6340 (2017)

4. Li, X., Song, S.: Stabilization of delay systems: delay-dependent impulsive control. IEEE Trans. Autom. Control 62, 406–411 (2017)

5. Li, X., Cao, J.: An impulsive delay inequality involving unbounded time-varying delay and applications. IEEE Trans. Autom. Control 62, 3618–3625 (2017)

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