NDLI: Event-triggered synchronisation of Markovian reaction–diffusion inertial neural networks and its application in image encryption

Content Provider	IET Digital Library
Author	Song, Xiaona Man, Jingtao Song, Shuai Ning, Zhaoke
Abstract	This study investigates the issue of dissipative synchronisation for inertial neural networks with Markovian jumping parameters and reaction–diffusion terms via the event-based control strategy. First, for study convenience, by employing a suitable variable substitution, the original synchronisation error system is transformed to a first-order differential one, and then it is reformed as a compact form. Second, an innovative event-triggered communication scheme that consists of the system's state and its first-order derivatives is proposed, with which the current sampling signal is judged whether should be released. Third, by constructing a novel Lyapunov–Krasovskii functional, and integrating the reciprocally convex combination method, free-weighting matrix approach and Wirtinger-based integral inequality, the dissipative synchronisation criterion that has less conservatism is derived. Finally, two examples are provided, one is a simple numerical example to account for the effectiveness of the main results, the other realises the application of this study in establishing a spatiotemporal chaotic cryptosystem to transmit the encrypted image. Furthermore, the proposed cryptosystem has been illustrated to have obvious advantages of large key space and high security by simulation results.
Starting Page	2726
Ending Page	2740
Page Count	15
ISSN	17518644
Volume Number	14
e-ISSN	17518652
Issue Number	Issue 18, Dec (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-cta/14/18
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-cta.2020.0136
Journal	IET Control Theory & Applications
Publisher Date	2020-09-07
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Chaos Computer Vision And Image Processing Technique Convex Combination Method Cryptography Data Security Dissipative Synchronisation Criterion Event-triggered Communication Event-triggered Synchronisation Free-weighting Matrix Image Encryption Image Processing Lyapunov Method Lyapunov-Krasovskii Functional Markov Processes Markovian Jumping Parameter Markovian Reaction–diffusion Inertial Neural Networks Optical, Image And Video Signal Processing Sampling Signal Spatiotemporal Chaotic Cryptosystem Stability in Control Theory Synchronisation Synchronisation Error System Wirtinger-based Integral Inequality
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Human-Computer Interaction Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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