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Synchronization of Markovian Jump Neural Networks for Sampled Data Control Systems With Additive Delay Components:Analysis of Image Encryption Technique
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  • Tamil Thendral M,
  • Ganesh Babu T.R,
  • Chandrasekar A,
  • Yang Cao
Tamil Thendral M
Anna University Chennai
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Ganesh Babu T.R
Muthayammal Engineering College
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Chandrasekar A
Sona College of Technology
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Yang Cao
Southeast University
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Abstract

In an modern world, image encryption played an vital role to prevent our data from illegal abuser entrée. Based on this, in this paper the Markovian jump neural networks for synchronization of sampled-data control systems with {two additive delay components are used on the looped functional method and its direct application is applied in image encryption.} Meanwhile, $x({t_{\chi}} )$ and $x({t_{\chi+1}})$ denotes the information states with tuning parameter and a few slack variable which is introduced in the derived result. Furthermore, the sampled-data controller is intended both the present and delayed state information, to enroll the control performance and flexibility. Finally by using the new technique, the several examples are highlighted in the numerical section and also the effectiveness of an image encryption is studied.

Peer review status:UNDER REVIEW

18 May 2021Submitted to Mathematical Methods in the Applied Sciences
19 May 2021Assigned to Editor
19 May 2021Submission Checks Completed
28 May 2021Reviewer(s) Assigned