H∞ control for fractional order neural networks with uncertainties subject to deception attacks via Improved memory-event-triggered scheme and Its application

• Published in: Neural networks Vol. 184; p. 107092
• Main Authors: Banu, K. Asmiya, Aparna, T., Tajudeen, M. Mubeen, Rajchakit, Grienggrai, Huang, Tingwen
• Format: Journal Article
• Language: English
• Published: United States Elsevier Ltd 01.04.2025
• Subjects: Algorithms; Computer Security; Deception; Deception attacks; Humans; H∞ control; Memory; Memory based event-triggered strategy; Neural Networks, Computer; Uncertainties; Uncertainty; H∞ control; Uncertainties; Memory based event-triggered strategy; Deception attacks; H(∞) control

The article discusses an improved memory-event-triggered strategy for H∞ control class of fractional-order neural networks (FONNs) with uncertainties, which are vulnerable to deception attacks. The system under consideration is simultaneously influenced by external disturbances, network-induced time...