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Synchronization of Markovian jumping inertial neural networks and its applications in image encryption

Prakash, M., Balasubramaniam, P. and Lakshmanan, S. 2016, Synchronization of Markovian jumping inertial neural networks and its applications in image encryption, Neural networks, vol. 83, pp. 86-93, doi: 10.1016/j.neunet.2016.07.001.

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Title Synchronization of Markovian jumping inertial neural networks and its applications in image encryption
Author(s) Prakash, M.
Balasubramaniam, P.
Lakshmanan, S.ORCID iD for Lakshmanan, S. orcid.org/0000-0002-4622-3782
Journal name Neural networks
Volume number 83
Start page 86
End page 93
Total pages 8
Publisher Elsevier
Place of publication Amsterdam, The Netherlands
Publication date 2016-11
ISSN 0893-6080
Keyword(s) Control
Image encryption
Inertial neural networks
Markovian jumping
Synchronization
Time delay
Summary This study is mainly concerned with the problem on synchronization criteria for Markovian jumping time delayed bidirectional associative memory neural networks and their applications in secure image communications. Based on the variable transformation method, the addressed second order differential equations are transformed into first order differential equations. Then, by constructing a suitable Lyapunov–Krasovskii functional and based on integral inequalities, the criteria which ensure the synchronization between the uncontrolled system and controlled system are established through designed feedback controllers and linear matrix inequalities. Further, the proposed results proved that the error system is globally asymptotically stable in the mean square. Moreover, numerical illustrations are provided to validate the effectiveness of the derived analytical results. Finally, the application of addressed system is explored via image encryption/decryption process.
Language eng
DOI 10.1016/j.neunet.2016.07.001
Field of Research 099999 Engineering not elsewhere classified
MD Multidisciplinary
Socio Economic Objective 0 Not Applicable
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2016, Elsevier Ltd
Persistent URL http://hdl.handle.net/10536/DRO/DU:30089100

Document type: Journal Article
Collection: Centre for Intelligent Systems Research
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