Global Lagrange Stability for Takagi-Sugeno Fuzzy Cohen-Grossberg BAM Neural Networks with Time-varying Delays
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Control and Systems Engineering
Link
http://link.springer.com/article/10.1007/s12555-017-0618-9/fulltext.html
Reference50 articles.
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2. J. Cao and Q. Song, “Stability in Cohen-Grossberg-type bidirectional associative memory neural networks with time-varying delays,” Nonlinearity, vol.19, pp. 1601–1617, July 2006.
3. X. Li, “Existence and global exponential stability of periodic solution for impulsive Cohen-Grossberg-type BAM neural networks with continuously distributed delays,” Applied Mathematics and Computation, vol. 215, pp. 292–307, September 2009.
4. Y. K. Li and X. Fan, “Existence and global exponential stability of almost periodic solution for Cohen-Grossberg-type BAM neural networks with variable coefficients,” Applied Mathematical Modelling, vol. 33, pp. 2114–2120, April 2009.
5. X. Li and X. Fu, “Global asymptotic stability of stochastic Cohen-Grossberg-type BAM neural networks with mixed delays: an LMI approach,” Journal of Computational and Applied Mathematics, vol. 235, pp. 3385–3394, April 2011.
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