Improved stochastic dissipativity of uncertain discrete-time neural networks with multiple delays and impulses-Reference-Cited by-同舟云学术

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Improved stochastic dissipativity of uncertain discrete-time neural networks with multiple delays and impulses

Published:2013-11-28 Issue:2 Volume:6 Page:289-305
ISSN:1868-8071
Container-title:International Journal of Machine Learning and Cybernetics
language:en
Short-container-title:Int. J. Mach. Learn. & Cyber.

Author:

Raja R.,Karthik Raja U.,Samidurai R.,Leelamani A.

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Software

Link

http://link.springer.com/content/pdf/10.1007/s13042-013-0215-z.pdf

Reference39 articles.

1. Balasubramaniam P, Rakkiyappan R (2009) Delay-dependent robust stability analysis of uncertain stochastic neural networks with discrete interval and distributed time-varying delays. Neurocomputing 72: 3231-3237

2. Boyd S, ElGhaoui L, Feron E, Balakrishnan V (1994) Linear matrix inequalities in system and control theory. SIAM, Philadelphia

3. Cao J, Song Q (2006) Stability in Cohen–Grossberg-type bidirectional associative memory neural networks with time-varying delays. Nonlinearity 19:1601–1617

4. Cao J, Yuan K, Ho DWC, Lam J (2006) Global point dissipativity of neural networks with mixed time-varying delays. Chaos 16:013105

5. Cao J, Wang J (2005) Global asymptotic and robust stability of recurrent neural networks with time delays. IEEE Trans Circuits Syst I I 52: 417-426

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