Synchronization of Markovian Jump Neural Networks for Sampled Data
Control Systems With Additive Delay Components:Analysis of Image
Encryption Technique
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.