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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

Corresponding Author:[email protected]

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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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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.
18 May 2021Submitted to Mathematical Methods in the Applied Sciences
19 May 2021Submission Checks Completed
19 May 2021Assigned to Editor
28 May 2021Reviewer(s) Assigned
06 Sep 2021Review(s) Completed, Editorial Evaluation Pending
16 Feb 2022Editorial Decision: Revise Major
23 May 20221st Revision Received
24 May 2022Submission Checks Completed
24 May 2022Assigned to Editor
03 Jun 2022Reviewer(s) Assigned
04 Jun 2022Review(s) Completed, Editorial Evaluation Pending
21 Sep 2022Editorial Decision: Accept