Petri net-based voltage control strategy under false data injection attack

Fu, Rong; Xu, Yue; Tang, Yi; Wang, Qi

doi:10.1177/0142331220923152

Cited by 9 publications

(6 citation statements)

References 13 publications

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“…Theorem 1: Providing that Assumption 1-5 are satisfied, consider the cyber-physical systems in strict-feedback form (1) subjected to the false data injection attacks through sensor networks and the recursive controller (28) with ESOs (10),( 15), (22).Then there exist 0 0   such that for any 0 (0, )   :…”

Section: Stability Analysismentioning

confidence: 99%

“…Then, a Q-learning algorithm in nearest sequence memory is developed to learn and analogy the attack online. Finally, the kernel density estimation is conducted to detect the bad data and offset the disruptive attack impacts [27] .In smart grids, petri nets are introduced to model the cyber-attacks, and the event trigger control is proposed to suppress the voltage fluctuation in power system [28] . In automatic generation control to keep the grid frequency fixed at a nominal value, an optimal attack is modelled and analyzed to guide the protection of sensor data links, then efficient algorithms are provided to estimate and mitigate attack impact [29] .A novel resilient load frequency control is proposed, where artificial neural network and Luenberger observer are combined to detect anomalies online and eliminate the adverse attack effects [30] .…”

Section: Introductionmentioning

confidence: 99%

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Adaptive resilient control for cyber-physical systems against unknown injection attacks in sensor networks

Gao

Liu

2023

Nonlinear Dyn

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An adaptive resilient control is concerned for a class of cyber-physical systems(CPSs) in presence of stealthy false data injection attacks in sensor networks and unknown strict-feedback nonlinear dynamics. As the sensors are attacked by ill-disposed hackers, the exactly measured state information is unavailable for state feedback control. After theory ratiocinations, the initial issue of false data injection attacks is transformed into nonlinear uncertainty dynamics and unknown control directions at the last step. At each step in the recursive backstepping control, extended state observers(ESOs) in active disturbance rejection control(ADRC) are investigated to approximate the lumped system uncertainties. Specially, the Nussbaum functions are introduced at the last step in the adaptive control. All the closed-loop signals are proved to be semi-globally uniformly ultimately bounded by Lyapunov theory. Finally, numerical simulations verify that the proposed control can afford favorable stabilization performance and counter false data injection attack.

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Section: Stability Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive resilient control for cyber-physical systems against unknown injection attacks in sensor networks

Gao

Liu

2023

Nonlinear Dyn

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“…The next rising edge is postponed the STRETCH+. An OR gate is used for multiple requests for stretching the clock (Rong et al, 2020).…”

Section: Stretchable Clockmentioning

confidence: 99%

Synchronous Elastic Systems and Voltage Droop Optimization Using Stochastic Petri Net Model

Akhigbe-mudu

2023

Am. J. Innov. Sci. Eng.

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Electric power systems play a significant role in modern society, serving billions of people. Therefore, there has been growing concern about the reliability and efficiency of the existing power systems; utilities are looking for technology to alleviate their concerns. One of the major concerns associated with voltage demand, is about system strength. System strength refers to the ability to withstand fault events, to maintain and control voltage waveform following these events. This paper aims to fill this gap by introducing synchronous elastic systems, using the SPN model, a connection strategy to improve frequency and voltage stability. In order to reach a more precise control effect, two working cases are considered for demonstrating the proposed control algorithm – droop control using SPN model. Droop control is realized by simulating the droop characteristics of generators and controlling the output voltage and frequency of the voltage source inverter (VSI) according to output power variation. Petri nets are classical tools for modelling and analyzing discrete event systems which are too complex to be described by automata or queuing models. The structural mechanism of the controller is based on the SPN model, which improves the problem of static error in the control of AC variables. The frequency domain characteristics are compared in detail and relevant parameters are designed. Controlling harmonic voltage levels within specified limits at the weakest point on the network ensures that other network locations will have better performance, hence, this study is highly appreciated.

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“…Providing that Assumption 1-5 are satisfied, consider the cyber-physical systems in strict-feedback form (1) subjected to the false data injection attacks through sensor networks and the recursive controller (28) with ESOs (10), (15), (22).Then there exist 0 0   such that for any Proof. Firstly, the convergence of extended state observers (10) and (15) in the first n-1 th subsystems is discussed.…”

Section: Theoremmentioning

confidence: 99%

Adaptive Resilient Control for Cyber-Physical Systems Against Unknown Injection Attacks in Sensor Networks☆

Ji¹,

Gao²,

Liu³

2021

Preprint

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An adaptive resilient control is concerned for a class of cyber-physical systems(CPSs) in presence of stealthy false data injection attack s in sensor networks and unknown strict-feedback nonlinear dynamics. As the sensors are attacked by ill-disposed hackers, the exactly measured state information is unavailable for state feedback control. After theory ratiocinations, the initial issue of false data injection attacks is transformed into nonlinear uncertainty dynamics and unknown control directions at the last step. At each step in the recursive backstepping control, extended state observers (ESOs) in active disturbance rejection control(ADRC) are investigated to approximate the lumped system uncertainties. Specially, the Nussbaum functions are introduced at the last step in the adaptive control. All the closed-loop signals are proved to be semi-globally uniformly ultimately bounded by Lyapunov theory. Finally, numerical simulations verify that the proposed control can afford favorable stabilization performance and counter false data injection attack.

show abstract

Petri net-based voltage control strategy under false data injection attack

Cited by 9 publications

References 13 publications

Adaptive resilient control for cyber-physical systems against unknown injection attacks in sensor networks

Adaptive resilient control for cyber-physical systems against unknown injection attacks in sensor networks

Synchronous Elastic Systems and Voltage Droop Optimization Using Stochastic Petri Net Model

Adaptive Resilient Control for Cyber-Physical Systems Against Unknown Injection Attacks in Sensor Networks☆

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