Hybrid-driven-based H∞ filter design for neural networks subject to deception attacks

@article{Liu2018HybriddrivenbasedHF,
  title={Hybrid-driven-based H∞ filter design for neural networks subject to deception attacks},
  author={Jinliang Liu and Jilei Xia and Engang Tian and Shumin Fei},
  journal={Applied Mathematics and Computation},
  year={2018},
  volume={320},
  pages={158-174}
}
This paper investigates the problem of H ∞ filter design for neural networks with hybrid triggered scheme and deception attacks. In order to make full use of the limited network resources, a hybrid triggered scheme is introduced, in which the switching between the time triggered scheme and the event triggered scheme obeys Bernoulli distribution. By… CONTINUE READING