@article{Liu2025, 
author = {Yawei Liu and Guangyin Cui and Chen Gao},
title = {Event-triggered synchronization control for neural networks against DoS attacks},
year = {2025},
journal = {Electronic Research Archive},
volume = {33},
number = {1},
pages = {121-141},
keywords = {event-triggered scheme, synchronization control, DoS attacks, neural networks},
url = {https://www.sciopen.com/article/10.3934/era.2025007},
doi = {10.3934/era.2025007},
abstract = {This paper studied the event-triggered synchronization problem for time-delay neural networks under DoS attacks. A novel event-triggered scheme based on switching between periodic sampling and a continuous event-triggered scheme was proposed, which not only cuts down the number of data transmissions but also offsets cyberattacks. By choosing a suitable piecewise Lyapunov-Krasovskii functional and using several free-weighting matrices, sufficient conditions were established to ensure the exponential stability of the synchronization error system in the occurrence of DoS attacks. Furthermore, a co-design method was provided to acquire the desired non-fragile output-feedback control gain and event-triggering parameter. Finally, a numerical example was given to illustrate the usefulness of the proposed approach.}
}