Dissipative synchronization of Semi-Markovian jumping delayed neural networks under random deception attacks: An event-triggered impulsive control strategy

• Published in: Journal of the Franklin Institute Vol. 361; no. 8; p. 106835
• Main Authors: Wei, Hanqing, Zhang, Kaisheng, Zhang, Miao, Li, Qiang, Wang, Jinling
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.05.2024
• Subjects: Deception attacks; Dissipative synchronization; Event-triggered impulsive control; Neural networks; Semi-Markovian jumping; Neural networks; Deception attacks; Event-triggered impulsive control; Dissipative synchronization; Semi-Markovian jumping
• ISSN: 0016-0032; 1879-2693
• DOI: 10.1016/j.jfranklin.2024.106835

The dissipative synchronization issue is addressed in this paper for semi-Markovian jumping delayed neural networks under random deception attacks by resorting to a novel event-triggered impulsive control strategy. Firstly, considering that the control signals may change when an attack signal is implanted into the controller, a random variable with known statistical properties, which obeys the Bernoulli distribution, is applied to characterize whether the controller is subject to deception attacks. Besides, so as to improve the utilization of limited even few communications resources, an event-triggered impulsive control approach is adopted to facilitate the desired synchronization of drive–response systems. In addition, a type of forced impulsive sequence based on the classic triggered condition is implemented. Furthermore, based on Lyapunov stability theory and stochastic analysis technique, some sufficient criteria of dissipative synchronization for drive–response systems are established. Meanwhile, the system error bound is given. At the end, one illustrative example is presented to demonstrate the effectiveness of the proposed control scheme, and further explain that the involved attacks have a significant influence on the triggered times.