Impulsive-Based Almost Surely Synchronization for Neural Network Systems Subject to Deception Attacks

• Published in: IEEE transaction on neural networks and learning systems Vol. 34; no. 5; pp. 2298 - 2307
• Main Authors: Dong, Shiyu, Zhu, Hong, Zhong, Shouming, Shi, Kaibo, Lu, Jianquan
• Format: Journal Article
• Language: English
• Published: United States IEEE 01.05.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Actuators; Almost surely synchronization; Artificial neural networks; Data communication; deception attacks; desynchronizing impulses; Mathematical models; neural network systems (NSSs); Neural networks; Symmetric matrices; Synchronism; Synchronization; System performance; Trajectory

This article is dedicated to investigating the impulsive-based almost surely synchronization issue of neural network systems (NSSs) with quality-of-service constraints. First, the communication network considered suffers from random double deception attacks, which are modeled as a nonlinear function...