Qinxue Li
South China University of Technology
10 Papers
17 Citations
Qinxue Li is an academic researcher from South China University of Technology. The author has contributed to research in topics: Cyber-physical system & Computer science. The author has an hindex of 2, co-authored 6 publications.
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Papers
Resilient Adaptive Event-Triggered $H_{\infty }$ Fuzzy Filtering for Cyber-Physical Systems Under Stochastic-Sampling and Denial-of-Service Attacks
TL;DR: In this paper , a resilient adaptive event-triggered fuzzy filtering for a class of interval type-2 (IT2) Takagi-Sugeno (T-S) fuzzy-model-based CPSs under stochastic sampling and energy-constrained, nonperiodic denial-of-service (DoS) attacks is proposed.
15
Neural network-based adaptive event-triggered control for cyber-physical systems under resource constraints and hybrid cyberattacks
Xuhuan Xie,Yonggui Liu,Qinxue Li +2 more
TL;DR: In this article , a neural network-based adaptive event-triggered control (AETC) strategy is developed for cyber-physical systems (CPSs) under resource constraints and hybrid cyberattacks.
12
Reconstruction of measurements in state estimation strategy against deception attacks for cyber physical systems
TL;DR: Performance of the proposed strategy is still extraordinary, which reflects generality for five kinds of recovery algorithms, and the corresponding effects are better than reconstruction scheme based on the joint dictionary and the traditional Gauss or Bernoulli random matrix respectively.
7
Data-driven attacks and data recovery with noise on state estimation of smart grid
TL;DR: The results show that the constructed DDAs are stealthy under BBD but can be eliminated by the proposed data recovery algorithms, which improve the resilience of the state estimator against the attacks.
7
Optimal Node Attack on Causality Analysis in Cyber-Physical Systems: A Data-Driven Approach
TL;DR: The theoretical basis for the proposed node attack is provided, in which the superiority of the nodes attack is proven from the view of observability and the case studies on the smart grid are illustrated to verify the superiority.