Secure state estimation for event-triggered cyber-physical systems against deception attacks
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Publication:2109209
DOI10.1016/J.JFRANKLIN.2022.10.049zbMath1504.93225OpenAlexW4308152299MaRDI QIDQ2109209
Yanyan Hu, Shengbing Zhang, Zhichen Han, Zengwang Jin
Publication date: 20 December 2022
Published in: Journal of the Franklin Institute (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.jfranklin.2022.10.049
Control/observation systems involving computers (process control, etc.) (93C83) Discrete-time control/observation systems (93C55) Discrete event control/observation systems (93C65) Networked control (93B70)
Related Items (3)
Adaptive event-triggered dissipative control for semi-Markovian jump systems with stochastic deception attack ⋮ Probabilistic event-triggered protocol for switched power systems under multi-strategy deception attack ⋮ Centralized approximate optimal estimation for cyber‐physical systems under joint cyber‐attacks
Cites Work
- Detection of replay attacks in cyber-physical systems using a frequency-based signature
- Distributed filtering based on Cauchy-kernel-based maximum correntropy subject to randomly occurring cyber-attacks
- Event-triggered resilient control for cyber-physical systems under asynchronous DoS attacks
- Event-triggered time-varying formation control for general linear multi-agent systems
- Optimal Denial-of-Service Attack Scheduling With Energy Constraint
- Stochastic Event-Triggered Sensor Schedule for Remote State Estimation
- Attack-Resilient <inline-formula> <tex-math notation="LaTeX">$\mathcal H_2$</tex-math> </inline-formula>, <inline-formula> <tex-math notation="LaTeX">$\mathcal H_\infty$</tex-math> </inline-formula>, and <inline-formula> <tex-math notation="LaTeX">$\ell _1$</tex-math> </inline-formula> State Estimator
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