New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks
2017 ◽
Vol 2017
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pp. 1-9
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Finite-time synchronization for a class of fractional-order delayed neural networks with fractional order α, 0<α≤1/2 and 1/2<α<1, is investigated in this paper. Through the use of Hölder inequality, generalized Bernoulli inequality, and inequality skills, two sufficient conditions are considered to ensure synchronization of fractional-order delayed neural networks in a finite-time interval. Numerical example is given to verify the feasibility of the theoretical results.
2021 ◽
Vol 358
(16)
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pp. 8207-8225
Keyword(s):
Keyword(s):
2011 ◽
Vol 34
(7)
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pp. 841-849
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Keyword(s):
Keyword(s):
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