Improved distributed event-triggered control for inverter-based AC microgrids under deceptive cyberattacks

Meng, Xiaoxiao; Zhou, Niancheng; Wang, Qianggang

doi:10.1016/j.ijepes.2020.106000

Cited by 8 publications

(4 citation statements)

References 24 publications

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“…Pre and postmultiplying (19), respectively, by [x k w k ] and its transpose, and considering (18), it follows that:…”

Section: Design Of the H ∞ State-feedback Controllermentioning

confidence: 99%

“…Note that the first element of (19) ensures that ( 15) is asymptotically stable. If the closed-loop system is asymptotically stable and considering null initial conditions, then…”

Section: Design Of the H ∞ State-feedback Controllermentioning

confidence: 99%

“…In this example, it is considered that a malicious attacker launches a replay attack on the system outputs. Notably, the attacker secretly records the output signal y k in the time interval k ∈ [2,19]. Hence, following the attack description (6), the received output signal is:…”

Section: Drc Frameworkmentioning

confidence: 99%

“…In particular, this article focuses on secure control against deception attacks, which, while attracting growing interest, is still in an early stage. On this subject, most approaches for mitigating deception attacks are based on the assumption that some sensors/actuators are not compromised (sparse attacks) [14]- [16], in exploiting the analytical redundancy obtained in the context of distributed systems [4], [7], [17], [18] or in the use of stochastic models with known distribution parameters for modeling the attacks [19]- [22]. Whereas the above approaches are efficient under the proposed assumptions, the real attacker behavior may be incompatible with those attack models and/or the safe redundancy may be unavailable.…”

mentioning

confidence: 99%

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Dual-Rate Control Framework With Safe Watermarking Against Deception Attacks

Bessa

Trapiello

Puig

et al. 2022

IEEE Trans. Syst. Man Cybern, Syst.

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This article presents a novel secure-control framework against sensor deception attacks. The vulnerability of cyber-physical systems with respect to sensor deceptive attacks makes that all sensor measurements are not reliable until the system security is assured by an attack detection module. Most of the active attack detection strategies require some time to assess the system security, while injecting a watermark signal to ease the detection. However, the injection of watermark signals deteriorates the performance and stability of the plant. The proposed control framework consists of a dual-rate control (DRC) that is able to stabilize the plant using: 1) a model predictive controller that operates at a slower sampling time; 2) a state-feedback predictor-based controller that operates in the nominal sampling time disregarding the use of the untrustworthy measurements until the attack detector is able to certify the security; and 3) a reconfiguration block (RB) for palliating the effect of the watermarking. Simulation results indicate the efficacy of the proposed DRC framework to defend the system from cyber-attacks and the ability of the RB to improve the closed-loop performance during the watermark injection.

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“…Pre and postmultiplying (19), respectively, by [x k w k ] and its transpose, and considering (18), it follows that:…”

Section: Design Of the H ∞ State-feedback Controllermentioning

confidence: 99%

“…Note that the first element of (19) ensures that ( 15) is asymptotically stable. If the closed-loop system is asymptotically stable and considering null initial conditions, then…”

Section: Design Of the H ∞ State-feedback Controllermentioning

confidence: 99%

Section: Drc Frameworkmentioning

confidence: 99%