Adaptive Synchronization of Reaction-Diffusion Neural Networks and Its Application to Secure Communication

• Published in: IEEE transactions on cybernetics Vol. 50; no. 3; pp. 911 - 922
• Main Authors: Shanmugam, Lakshmanan, Mani, Prakash, Rajan, Rakkiyappan, Joo, Young Hoon
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.03.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptation models; Adaptive control; Adaptive systems; Algorithms; Artificial neural networks; Brain modeling; Delay effects; Delays; Diffusion; Encryption; image encryption; Image enhancement; Linear matrix inequalities; linear matrix inequality (LMI); Neural networks; neural networks (NNs); reaction–diffusion; Synchronism; Synchronization; Time synchronization; Watermarking
• ISSN: 2168-2267; 2168-2275; 2168-2275
• DOI: 10.1109/TCYB.2018.2877410

This paper is mainly concerned with the synchronization problem of reaction-diffusion neural networks (RDNNs) with delays and its direct application in image secure communications. An adaptive control is designed without a sign function in which the controller gain matrix is a function of time. The...