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Fixed-time Synchronization of Complex-valued Memristive BAM Neural Network and Applications in Image Encryption and Decryption
- Source :
- International Journal of Control, Automation and Systems. 18:462-476
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- This paper focuses on the dynamical characteristics of complex-valued memristor-based BAM neural network (CVMBAMNN) with leakage time-varying delay. With two different controllers, we have obtained fixedtime and finite-time synchronization criteria respectively in complex domain for our special model, which few work has studied before. Since fixed-time synchronous system can improve communication security, we designed a scheme for RGB image encryption and decryption. In order to satisfy the requirement of much lower error in image secure communication, our approach can get the error of fixed-time synchronization to about 1×10−13. Due to our highly consistent system, we do get good encryption and decryption effect with encryption and decryption scheme. Finally, numerical simulations are included to demonstrate the correctness of our theoretical results.
- Subjects :
- 0209 industrial biotechnology
Correctness
Artificial neural network
business.industry
Computer science
Robotics
02 engineering and technology
Memristor
Mechatronics
Communications security
Encryption
Computer Science Applications
law.invention
020901 industrial engineering & automation
Computer engineering
Secure communication
Control and Systems Engineering
law
Artificial intelligence
business
Subjects
Details
- ISSN :
- 20054092 and 15986446
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- International Journal of Control, Automation and Systems
- Accession number :
- edsair.doi...........42638b72c74129692b1425a4463fb375