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Lag synchronization of switched neural networks via neural activation function and applications in image encryption

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journal contribution
posted on 09.04.2015, 08:45 by Shiping Wen, Zhigang Zeng, Tingwen Huang, Qinggang Meng, Wei Yao
This paper investigates the problem of global exponential lag synchronization of a class of switched neural networks with time-varying delays via neural activation function and applications in image encryption. The controller is dependent on the output of the system in the case of packed circuits, since it is hard to measure the inner state of the circuits. Thus, it is critical to design the controller based on the neuron activation function. Comparing the results, in this paper, with the existing ones shows that we improve and generalize the results derived in the previous literature. Several examples are also given to illustrate the effectiveness and potential applications in image encryption.

Funding

This work was supported by the Qatar National Research Fund (Grant no. 4-1162-1-181);the Program for the Changjiang Scholars and Innovative Research Team in the University of China (Grant no. IRT1245); the National Natural Science Foundation of China (Grant numbers: 61125303, 61203286, and 61403152); and the National Basic Research Program (973 Program) of China (Grant no. 2011CB710606).

History

School

  • Science

Department

  • Computer Science

Published in

IEEE Transactions on Neural Networks and Learning Systems

Volume

26

Issue

7

Pages

1493 - 1502

Citation

WEN, S. ... et al., 2015. Lag synchronization of switched neural networks via neural activation function and applications in image encryption. IEEE Transactions on Neural Networks and Learning Systems, 26(7), pp.1493-1502.

Publisher

© Institute of Electrical and Electronics Engineers

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2015-01-14

Notes

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

DOI

ISSN

2162-237X

eISSN

2162-2388

Publisher version

Language

en

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Lag synchronization of switched neural networks via neural activation function and applications in image encryption
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Categories

Keywords

Exponential stabilityLag synchronizationSwitched neural networks

Licence

CC BY-NC-ND 4.0

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