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Title: Lag synchronization of switched neural networks via neural activation function and applications in image encryption
Authors: Wen, Shiping
Zeng, Zhigang
Huang, Tingwen
Meng, Qinggang
Yao, Wei
Keywords: Exponential stability
Lag synchronization
Switched neural networks
Issue Date: 2015
Publisher: © Institute of Electrical and Electronics Engineers
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.
Abstract: 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.
Description: © 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.
Sponsor: 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).
Version: Accepted for publication
DOI: 10.1109/TNNLS.2014.2387355
URI: https://dspace.lboro.ac.uk/2134/17204
Publisher Link: http://dx.doi.org/10.1109/TNNLS.2014.2387355
Appears in Collections:Published Articles (Computer Science)

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