Sampled-data synchronization for fuzzy inertial cellular neural networks and its application in secure communication

• Published in: Neural networks Vol. 180; p. 106671
• Main Authors: Subramaniam, Sasikala, Mani, Prakash
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.12.2024
• Subjects: Algorithms; Communication; Computer Security; Computer Simulation; Encryption process; Fuzzy Logic; Humans; Inertial cellular neural networks; Linear matrix inequalities; Lyapunov stability theory; Neural Networks, Computer; Nonlinear Dynamics; Sampled-data control; Sampled-data control; Encryption process; Linear matrix inequalities; Lyapunov stability theory; Inertial cellular neural networks

This paper designs the sampled-data control (SDC) scheme to delve into the synchronization problem of fuzzy inertial cellular neural networks (FICNNs). Technically, the rate at which the information or activation of cellular neuronal transmission made can be described in a first-order differential m...