Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication | IEEE Journals & Magazine | IEEE Xplore

Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication


Abstract:

In this paper, synchronization of an inertial neural network with time-varying delays is investigated. Based on the variable transformation method, we transform the secon...Show More

Abstract:

In this paper, synchronization of an inertial neural network with time-varying delays is investigated. Based on the variable transformation method, we transform the second-order differential equations into the first-order differential equations. Then, using suitable Lyapunov-Krasovskii functionals and Jensen's inequality, the synchronization criteria are established in terms of linear matrix inequalities. Moreover, a feedback controller is designed to attain synchronization between the master and slave models, and to ensure that the error model is globally asymptotically stable. Numerical examples and simulations are presented to indicate the effectiveness of the proposed method. Besides that, an image encryption algorithm is proposed based on the piecewise linear chaotic map and the chaotic inertial neural network. The chaotic signals obtained from the inertial neural network are utilized for the encryption process. Statistical analyses are provided to evaluate the effectiveness of the proposed encryption algorithm. The results ascertain that the proposed encryption algorithm is efficient and reliable for secure communication applications.
Published in: IEEE Transactions on Neural Networks and Learning Systems ( Volume: 29, Issue: 1, January 2018)
Page(s): 195 - 207
Date of Publication: 03 November 2016

ISSN Information:

PubMed ID: 27834655

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