Event-triggered sliding mode control of uncertain switched systems under denial-of-service attacks

Zhao, Hongfei; Niu, Yugang; Zhao, Jiancong

doi:10.1016/j.jfranklin.2019.03.044

Cited by 74 publications

(39 citation statements)

References 30 publications

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“…Recently, the security of Cyber-Physics systems has attracted much attention, where cyber attacks are concerned [10]- [13]. Generally, the cyber attacks are roughly divided into two categories: 1) the denial-of-service (Dos) attacks [14], [15] and 2) deception attacks [16], [17]. The former can destroy the system performance by preventing the timely transmission of data.…”

Section: Introductionmentioning

confidence: 99%

Leader-Following Consensus of Multiple Euler-Lagrange Systems Under Deception Attacks

et al. 2021

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In this paper, the leader-following consensus problem of a multi-Euler-Lagrange system is studied under deception attacks, where attackers can inject the false data into the data being exchanged over the communication network between two Euler-Lagrange systems. A distributed adaptive filter is proposed to compensate the unknown injection false data, where the magnitude of the false data is estimated. Meanwhile, the performance of the multiple Euler-Lagrange system consensus with the proposed filter can be guaranteed to be similar to that with the traditional controller when the communication network is not injected into false data by a malicious attacker. Furthermore, the consensus criteria of a multiple Euler-Lagrange system and the parameter design scheme of the proposed adaptive filter are achieved by using Lyapunov stability theory. Finally, a numerical example is carried out to demonstrate the effectiveness of the proposed consensus controller for a multi-Euler-Lagrange system attacked by using the false data injection.INDEX TERMS Euler-Lagrange systems, leader-following consensus, deception attack, distributed filter.

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Section: Introductionmentioning

confidence: 99%

Leader-Following Consensus of Multiple Euler-Lagrange Systems Under Deception Attacks

et al. 2021

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“…In fact, the system components (eg, controllers, sensors and actuators) are often jointed via communication networks. 14,15 In order to reduce the utilization of limited communication resources, a feasible method is to utilize some transmission protocols, including the event-triggered protocol, [16][17][18][19][20] the scheduling protocol of channels, [21][22][23] and so on. Under these protocols, only a part of the measured information may be transmitted via the shared communication channels.…”

Section: Introductionmentioning

confidence: 99%

Finite‐time boundedness of sliding mode control under periodic event‐triggered strategy

Niu

Song

2020

Intl J Robust & Nonlinear

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This article investigates the problem of sliding mode control (SMC) for continuous-time systems under the requirement of finite-time boundedness (FTB), in which the state signals are periodically sampled and transmitted to the controller according to the pre-designed event-triggering condition. A key issue is how to utilize the less available state information to achieve the FTB of the closed-loop system. To this end, the continuous-time SMC law is changed into an implementable form dependent on the available sampled state via event triggering transmission. It is shown that the state trajectory of the controlled system can be driven onto the specified sliding surface before the given finite time, and then, remain within a domain around this sliding surface. Due to the characteristic of the periodic event-triggered scheme (ETS), the known partitioning strategy on the SMC with FTB is infeasible for this present case. Instead, we shall analyze the FTB of the closed-loop system over the whole given time, meanwhile, a selection condition on the robust term is given via the given time parameter. Finally, the numerical simulation results are provided to illustrate the proposed periodical event-triggered SMC scheme. K E Y W O R D S event-triggering mechanism, finite time boundedness, periodic sample, sliding mode control

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“…Recently, the sliding mode control (SMC) strategy is exploited to stabilize the CPSs under DoS attacks. In Reference 12, the output‐feedback control problem was investigated for switched systems under DoS attacks obeying the Bernoulli distribution. The authors in Reference 13 proposed a resilient SMC approach for a class of linear CPSs by representing the closed‐loop systems as a switched format transiting between the subsystems with and without attacks.…”

Section: Introductionmentioning

confidence: 99%

Secure sliding mode control of interval type‐2 fuzzy systems against intermittent denial‐of‐service attacks

Zhang

Niu

Zhao

2020

Intl J Robust & Nonlinear

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Summary This article focuses on the sliding mode control of a class of interval type‐2 fuzzy systems with immeasurable states. During the data transmission from the sensor to the controller, the intermittent denial‐of‐service (DoS) attacks may be launched by vicious opponents. A key issue is to evaluate the tolerable region of the attacks for keeping the desired dynamic performance of the controlled interval type‐2 fuzzy systems. To this end, two weighting coefficients are first introduced to construct new membership functions. Based on this, a switched interval type‐2 fuzzy estimator is proposed to estimate the immeasurable state and compensate for the lost measurements caused by DoS attacks. And then, considering different DoS statues, a switched sliding mode controller transiting between the attack free and active cases is synthesized such that the specified sliding surface can be reached. In addition, the acceptable DoS region is quantitatively analyzed via a switched Lyapunov function. It is proven that the input‐to‐state stability of the sliding mode dynamics and the error system can be ensured within this tolerable DoS region. Finally, a simulation example is provided to illustrate the proposed control scheme.

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Event-triggered sliding mode control of uncertain switched systems under denial-of-service attacks

Cited by 74 publications

References 30 publications

Leader-Following Consensus of Multiple Euler-Lagrange Systems Under Deception Attacks

Leader-Following Consensus of Multiple Euler-Lagrange Systems Under Deception Attacks

Finite‐time boundedness of sliding mode control under periodic event‐triggered strategy

Secure sliding mode control of interval type‐2 fuzzy systems against intermittent denial‐of‐service attacks

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