Modified-Projective-Synchronization of Memristor-Based Fractional-Order Delayed Neural Networks

ZHANG Weiwei; CHEN Dingyuan; WU Ranchao; CAO Jinde

doi:10.21656/1000-0887.370359

Volume 39 Issue 2

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ZHANG Weiwei, CHEN Dingyuan, WU Ranchao, CAO Jinde. Modified-Projective-Synchronization of Memristor-Based Fractional-Order Delayed Neural Networks[J]. Applied Mathematics and Mechanics, 2018, 39(2): 239-248. doi: 10.21656/1000-0887.370359

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Modified-Projective-Synchronization of Memristor-Based Fractional-Order Delayed Neural Networks

doi: 10.21656/1000-0887.370359

¹School of Mathematics and Computational Science, Anqing Normal University,Anqing, Anhui 246133, P.R.China;²School of Mathematical Sciences, Anhui University, Hefei 230039, P.R.China;³School of Mathematics, Southeast University, Nanjing 210096, P.R.China

Funds: The National Natural Science Foundation of China(11571016)

Received Date: 2016-11-18
Rev Recd Date: 2017-01-24
Publish Date: 2018-02-15

Abstract

Abstract

The discussion of fractional-order memristor-based neural networks with time delay is a hot topic. The modified projective synchronization of fractional-order memristor-based neural networks with time delay was investigated. By means of the fractional-order inequality, sufficient conditions for the modified projective synchronization of drive-response systems were achieved. The results obtained here are more general. The corresponding numerical simulations show the feasibility of the theoretical results.
- fractional order,
- memristor-based neural network,
- time delay,
- modified projective synchronization

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References(33)

References

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