Event-Based Adaptive Fuzzy Fixed-Time Secure Control for Nonlinear CPSs Against Unknown False Data Injection and Backlash-Like Hysteresis

Song, Shuai; Park, Ju H.; Zhang, Baoyong; Song, Xiaona

doi:10.1109/tfuzz.2021.3070700

Cited by 46 publications

(28 citation statements)

References 48 publications

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“…Remark As shown in Reference 8, some typical practical applications, such as mass‐spring‐damper system, chemical reactor system and robotic system, can be modeled by the dynamic equation (1). In the existing event‐triggered control results about nonlinear CPSs, 22‐26 only asymptotical stability or boundedeness results could be obtained. There are few finite‐time secure control results reported on nonlinear CPSs.…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

“…Remark Assumptions 1 and 2 are common and standard conditions which can also be found in References 7‐14,22‐26. And compared with the existing results about CPSs, the main technical difficulties are shown as follows: In References 19,20,29, the finite‐time secure control methods were only applicable to linear CPSs.…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

“…As shown in References 7,9, the unknown and time‐varying sensor attacks will make the control problem difficult. To deal with the unknown state feedback gains caused by the sensor attacks, some Nussbaum function methods with adaptive laws were proposed in References 7,9,23. However, the traditional Nussbaum function method could only achieve asymptotical stability.…”

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

“…On the other hand, continuous communications were required in the above references which may increase the risk of cyber attacks 7‐21 . To reduce the communication transmission, event‐triggered‐based controllers were designed for CPSs in References 22‐26. Then by codesigning finite‐time control scheme and novel triggering mechanism, adaptive event‐triggered finite‐time control was also achieved in References 27 and 28.…”

Section: Introductionmentioning

confidence: 99%

“…Compared with the considered CPSs in References 19‐21,29, a class of more general nonlinear CPSs with mismatched nonlinearities are studied in this article. In References 19‐21,29, the finite‐time control schemes were only applicable to actuator attacks. In this paper, an effective secure control scheme is developed which can simultaneously compensate the unknown sensor attacks and actuator attacks. Unlike the Nussbaum function method in References 7,9,23, a novel adaptive secure control scheme is proposed to compensate the unknown deception attacks. And different from the asymptotic behavior in References 7‐14,22‐26, the system states can converge to zero in finite time such that favorable system performance can be guaranteed. Different from the finite‐time secure techniques with real‐time control inputs for nonlinear CPSs in Reference 21, an effective event triggering strategy is provided in this paper such that communication resources can be saved.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Event‐triggered adaptive finite‐time secure control for nonlinear cyber‐physical systems against unknown deception attacks

Wang

et al. 2022

Intl J Robust & Nonlinear

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In this article, the event-triggered-based adaptive finite-time secure control problem is considered for nonlinear cyber-physical systems (CPSs) in the presence of unknown sensor and actuator deception attacks. Due to the existence of unknown deception attacks, the system states are unavailable such that the conventional backstepping cannot be applicable. To solve this problem, a novel coordinate transformation is introduced based on the compromised system states. Then the adaptive controller combined with the triggering mechanism is designed by using adding a power integrator technique. Besides, based on the finite-time stability theorem, an adaptive switching law is proposed to regulate the dynamic controller parameter such that the unknown deception attacks can be effectively compensated. It is shown that the finite-time stability can be guaranteed for the nonlinear CPSs and Zeno behavior can be avoided. Finally, a simulation example is provided to show the effectiveness of the proposed control scheme.

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Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Section: Problem Formulation and Preliminariesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Event‐triggered adaptive finite‐time secure control for nonlinear cyber‐physical systems against unknown deception attacks

Wang

et al. 2022

Intl J Robust & Nonlinear

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Composite adaptive finite‐time fuzzy control for switched nonlinear systems with preassigned performance

Sun

Song

et al. 2022

Adaptive Control & Signal

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This article investigates the composite adaptive fuzzy finite-time prescribed performance control issue of switched nonlinear systems subject to the unknown external disturbance and performance requirement. First, by utilizing the compensation and prediction errors, the piecewise switched composite parameter update law is employed to improve the approximation accuracy of the unknown nonlinearity. Then, the improved fractional-order filter and error compensation signal are introduced to cope with the influences caused by the explosive calculation and filter error, respectively. Meanwhile, the effect of the compound disturbances consisting of the unknown disturbances and approximation errors is reduced appropriately by designing the piecewise switched nonlinear disturbance observer. Moreover, stability analysis results prove that the proposed preassigned performance control scheme not only ensures that all states of the closed-loop system are practical finite-time bounded, but also that the tracking error converges to a preassigned area with a finite time. Ultimately, the simulation examples are given to demonstrate the effectiveness of the proposed control strategy.

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Event‐triggered consensus secure control for nonlinear MASs under mixed sensor attacks and actuator faults

Chen,

Li,

Tong

2023

Adaptive Control & Signal

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SummaryThis article investigates the adaptive neural network (NN) output‐feedback event‐triggered consensus secure control problem for a class of nonlinear multi‐agent systems (MASs) under mixed sensor attacks and actuator faults. Since the considered nonlinear MASs contain unknown nonlinear dynamics, the NNs are first adopted to model unknown agents. Then, a nove NN learning secure state observer is proposed to estimate the sensor attacks and unmeasured states. To reduce unnecessary updating times of the actuator, an event‐triggered mechanism is constructed. By using the backstepping control design technique and the design NN state observer, a NN adaptive output‐feedback event‐triggered consensus secure control scheme is formulated. It is proved that the developed consensus secure control scheme can guarantee the controlled nonlinear MASs are stable and consensus tracking errors converge even under mixed sensor attacks and actuator faults. Simulation and comparative results illustrate the effectiveness of the proposed scheme.

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Event-Based Adaptive Fuzzy Fixed-Time Secure Control for Nonlinear CPSs Against Unknown False Data Injection and Backlash-Like Hysteresis

Cited by 46 publications

References 48 publications

Event‐triggered adaptive finite‐time secure control for nonlinear cyber‐physical systems against unknown deception attacks

Event‐triggered adaptive finite‐time secure control for nonlinear cyber‐physical systems against unknown deception attacks

Composite adaptive finite‐time fuzzy control for switched nonlinear systems with preassigned performance

Event‐triggered consensus secure control for nonlinear MASs under mixed sensor attacks and actuator faults

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