Secure Adaptive Event-Triggered Control for Cyber–Physical Power Systems Under Denial-of-Service Attacks

Wang, Aimin; Fei, Minrui; Song, Yang; Chen, Peng; Du, Dajun; Sun, Qing

doi:10.1109/tcyb.2023.3241179

Cited by 24 publications

(8 citation statements)

References 36 publications

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“…Finally, Monte Carlo simulations were used to verify the effectiveness of the design method. The wide introduction and usage of communication networks cause MJPSs to be increasingly exposed to cyber attacks [44]. If this occurs, it will lead to the performance of the entire system going down.…”

Section: Discussionmentioning

confidence: 99%

Optimal fault‐tolerant control for Markov jump power systems with asynchronous actuator faults

Wang

Fei

Song

2023

Asian Journal of Control

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Communication problems in the sensor‐to‐controller and controller‐to‐actuator channels can cause both the controller and actuator to run asynchronously with the original system in different operating modes. This paper investigates an optimal fault‐tolerant control approach for Markov jump power systems (MJPSs) with asynchronous controller and actuator. Firstly, an asynchronous controller is proposed to deal with incomplete information (i.e., system modes) transmission in the sensor‐to‐controller channel. Secondly, a new asynchronous actuator faults model is constructed to simultaneously represent the two partial losses, of modes information in the controller‐to‐actuator channel, and of control effectiveness (LoCE) caused by actuator faults. Under this framework, two related hidden Markov models (HMMs) are formed, which reveal that both the controller and actuator are asynchronous with the controlled system in different modes. By using Lyapunov and optimal approaches, sufficient conditions are derived to ensure that MJPSs are mean square stable with an optimal guaranteed cost. Finally, Monte Carlo simulations are used to verify the effectiveness of the proposed control method.

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Section: Discussionmentioning

confidence: 99%

Optimal fault‐tolerant control for Markov jump power systems with asynchronous actuator faults

Wang

Fei

Song

2023

Asian Journal of Control

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“…According to the actual situation, to better describe cyberattacks, introduce a Bernoulli variable α j ( t ) , and use a nonlinear function f j ( x ( t ) ) to represent random cyberattacks. Motivated by Liu et al 39 and Wang et al, 40 the model of cyberattack is given as…”

Section: Preliminaries and Problem Formulationmentioning

confidence: 99%

Failure-distribution-dependent leader-following fault-tolerant consensus for multiagent system with cyberattacks

Miao,

Li,

Wang

2024

Proceedings of the Institution of Mechanical Engineers, Part I:

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This article concentrates on a failure-distribution-dependent leader-following fault-tolerant consensus control for multiagent systems with cyberattacks. First, considering the characteristic of failures, a failure distribution model which is more in line with the actual situation is established. To reduce the influence of zero initial conditions, an [Formula: see text] performance index suitable for leader-following multiagent systems is constructed. After this, it is difficult to obtain the augmented form of the closed-loop system due to the coupling of parameters caused by cyberattacks. Thus, based on the provided failure model and performance index, a new fault-tolerant controller is designed by using topological structure segmentation to satisfy the leader-following multiagent system fault-tolerant consensus. Finally, a numerical example is shown to prove the feasibility of this algorithm.

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“…Such FDI attacks can pollute the measurement signals and disrupt the control actions and thus lead to an unexpected steering action or following behavior of AVs. [3][4][5][6] When attackers fully understand the knowledge of system model parameters and operation data, they can tamper with sensor and actuator channels in a more covert way without detection, thus result in a more destructive FDI attacks. 7,8 Different from denial of service attacks which block communication channel through a large amount of transmissions, the well-designed FDI attacks are more hidden and targeted so that its can make a more serious threat to the reliable and stable operation of AVs.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered adaptive secure lateral stabilization for autonomous vehicles under actuator attacks

Sun,

Chen,

Shen

et al. 2024

Adaptive Control & Signal

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SummaryFalse data injection attacks can disrupt the steering control actions and make a real threat to both the security and safety of autonomous vehicles. In this paper, a secure event‐triggered lateral control approach of autonomous vehicles subject to actuator attacks is investigated. Firstly, an arbitrary unknown actuator attacks is considered in the secure lateral steering control of autonomous vehicles. Thus, to save communication resources for the limited bandwidth CAN bus, the periodic event‐triggered transmission scheme is utilized, transforming the established lateral steering control into a time‐delay system through the consideration of periodic event‐triggered sampling. Then, an adaptive control compensation scheme is developed to mitigate the malicious effects caused by actuator attacks. The proposed secure control approach is skilled in compensating the unknown attacked steering control actions in an adaptive way. The stabilization criteria under the adaptive secure control law is well derived by Lyapunov–Krasovskii method and some linear inequality matrices operations. At last, the effectiveness of the proposed secure control scheme is verified by some numerical experiments borrowed from a practical vehicle.

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Secure Adaptive Event-Triggered Control for Cyber–Physical Power Systems Under Denial-of-Service Attacks

Cited by 24 publications

References 36 publications

Optimal fault‐tolerant control for Markov jump power systems with asynchronous actuator faults

Optimal fault‐tolerant control for Markov jump power systems with asynchronous actuator faults

Failure-distribution-dependent leader-following fault-tolerant consensus for multiagent system with cyberattacks

Event‐triggered adaptive secure lateral stabilization for autonomous vehicles under actuator attacks

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