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

Weiwei Zhang, Jinde Cao, Ahmed Alsaedi and Fuad E. Alsaadi

Mathematical Problems in Engineering, 2017, vol. 2017, 1-9

Abstract:

Finite-time synchronization for a class of fractional-order delayed neural networks with fractional order , and , 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.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:1804383

DOI: 10.1155/2017/1804383

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