Fault Tolerance Control in Cyber-Physical Systems

Chemashkin, Fedor; Zhilenkov, Anton

doi:10.1109/eiconrus.2019.8656639

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…The current time k's estimation values, including the prediction state xk∕k−1 , error êk∕k−1 , and covariance Pk∕k−1 are predicted by using the estimation values at the previous time k − 1. The above estimation values are calculated as Equations ( 8)- (10):…”

Section: • Time Update With No Dos Attackmentioning

confidence: 99%

“…Compare Equations ( 8)- (10) with Equations ( 16)-( 18); it is obvious that the corresponding estimation values with DoS attack or not are differences. Especially, the error e ′ k and the covariance P ′ k calculated by the Kalman filter will be different from that of the normal situation with no attack.…”

Section: • Measurement Update With Dos Attackmentioning

confidence: 99%

“…For solving the stable control problem in ICPS with normal situation, a large number of literatures have been studied by using various classical controllers. We designed a vehicle control and coordinated control based on the classical proportional–integral–derivative (PID) controller [9], used predictive control to control the network physical system managing the urban water cycle [5], and used the fault‐tolerant control to achieve the reliability and stability of the ICPS [10]. In addition, to achieve better performance at low cost, some references have studied on linear quadratic Gaussian (LQG) control [11, 12].…”

Section: Introductionmentioning

confidence: 99%

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Optimal control strategy by tracking and compensation for ICPS under the DoS attack

Sun

Qin

Xue

et al. 2022

Asian Journal of Control

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To solve the security problem of industrial cyber-physical systems (ICPS) suffering from the Denial of Service (DoS) attack, this paper proposes an optimal control strategy with functions of tracking and compensation control. The system model, being depicted as a discrete linear time-invariant system combined with an improved Bernoulli model, is established to describe the system under DoS attacks by using the feedback control theory. The optimal control strategy is completed by designing linear quadratic Gaussian (LQG) controller consisting of a tracking regulator and a Kalman filter to achieve tracking control of ICPS whose equilibrium state is neither zero state nor zero output, where a periodic event-triggered mechanism is adopted for ensuring the system's stability. The compensation control strategy is completed by designing a compensator to compensate the system to a certain extent through the multistep state prediction compensation strategy after a DoS attack being detected, where the 𝜒 2 detector is adopted to detect the DoS attack based on the measurement residual obtained by the Kalman filter. The simulation test is conducted by using Simulink/True Time tool with a ball-beam system as the physical object, whose results show that the tracking regulator can achieve the tracking control of ICPS; compensation strategy can reduce the impact of the attack on the system to a certain extent.

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Section: • Time Update With No Dos Attackmentioning

confidence: 99%

Section: • Measurement Update With Dos Attackmentioning

confidence: 99%