New Stability Criterion for Takagi-Sugeno Fuzzy Cohen-Grossberg Neural Networks with Probabilistic Time-Varying Delays
2017 ◽
Vol 2017
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pp. 1-11
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Keyword(s):
A new global asymptotic stability criterion of Takagi-Sugeno fuzzy Cohen-Grossberg neural networks with probabilistic time-varying delays was derived, in which the diffusion item can play its role. Owing to deleting the boundedness conditions on amplification functions, the main result is a novelty to some extent. Besides, there is another novelty in methods, for Lyapunov-Krasovskii functional is the positive definite form of p powers, which is different from those of existing literature. Moreover, a numerical example illustrates the effectiveness of the proposed methods.
2005 ◽
pp. 419-429
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2019 ◽
Vol 50
(9)
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pp. 1742-1756
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Keyword(s):
2010 ◽
Vol 37
(12)
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pp. 7737-7744
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2018 ◽
Vol 57
(3)
◽
pp. 228
2011 ◽
Vol 22
(8)
◽
pp. 1180-1192
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