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New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks
Journal article   Open access  Peer reviewed

New Methods of Finite-Time Synchronization for a Class of Fractional-Order Delayed Neural Networks

Weiwei Zhang, Jinde Cao, Ahmed Alsaedi, Fuad E. Alsaadi and Fawaz E. Alsaadi
Mathematical problems in engineering, Vol.2017, pp.1-9
01/01/2017

Abstract

Engineering Engineering, Multidisciplinary Mathematics Mathematics, Interdisciplinary Applications Physical Sciences Science & Technology Technology
Finite-time synchronization for a class of fractional-order delayed neural networks with fractional order alpha, 0 < alpha <= 1/2 and 1/2 < alpha < 1, is investigated in this paper. Through the use of Holder 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.
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https://doi.org/10.1155/2017/1804383View
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