Sampled-Data Resilient Control for Hybrid Nonlinear Stochastic Systems Under Periodic DoS Attacks

Liu, Xiaohua; Deng, Feiqi; Zeng, Pengyu; Gao, Xiaobin; Zhao, Xueyan

doi:10.1109/access.2021.3069379

Cited by 5 publications

(8 citation statements)

References 42 publications

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“…We use the values of 𝛼 i , 𝜙 i , h, 𝜎, and 𝛾 in (43) and deal with the optimization problem for given distinct T: 25), subjects to LMIs (34), (38), and (39). (44) Table 1 gives the minimum values of T min off , the maximum allowable J ≜ (T − T min off )∕T × 100% called DoS attack rate, and 𝔏 2 − 𝔏 ∞ performance index 𝛾. It can be observed that T min off , J, and 𝛾 increase with the increase of T in Table 1.…”

Section: Numerical Examplementioning

confidence: 99%

Event‐triggered quantized L2−L∞$$ {\mathfrak{L}}_2-{\mathfrak{L}}_{\infty } $$ filtering for neural networks under denial‐of‐service attacks

Zhou

Chang

2022

Intl J Robust & Nonlinear

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This article deals with the reliable event‐triggered quantized frakturL2prefix−frakturL∞$$ {\mathfrak{L}}_2-{\mathfrak{L}}_{\infty } $$ filtering issue for neural networks with exterior interference under denial‐of‐service attacks. In order to lighten the load of communication channels and save network resources, a resilient event‐triggered mechanism and a quantization scheme are employed, simultaneously. By applying a piecewise Lyapunov–Krasovskii functional method, sufficient conditions containing limitations of denial‐of‐service attacks are derived to guarantee that the filter error system is exponentially stable as well as possesses a prescribed frakturL2prefix−frakturL∞$$ {\mathfrak{L}}_2-{\mathfrak{L}}_{\infty } $$ disturbance attenuation performance. Then, a co‐design method of the desired quantized frakturL2prefix−frakturL∞$$ {\mathfrak{L}}_2-{\mathfrak{L}}_{\infty } $$ filtering gain matrix and event‐triggering parameter can be obtained provided that the linear matrix inequalities have a feasible solution. Finally, the usefulness of the proposed design method is demonstrated by a numerical example.

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Section: Numerical Examplementioning

confidence: 99%

Event‐triggered quantized L2−L∞$$ {\mathfrak{L}}_2-{\mathfrak{L}}_{\infty } $$ filtering for neural networks under denial‐of‐service attacks

Zhou

Chang

2022

Intl J Robust & Nonlinear

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“…In addition, pre-and post-multiplying ( 27) and ( 28) by X 12 and X 11 , respectively. Applying Schur Complement Lemma, we have (60) and (61) are equal to (27) and (28), respectively. By employing the similar approach, it is obvious that LMIs (29) and (30) tends to (62)-( 64) and (65), respectively.…”

Section: B Adaptive Event-triggered Extended Dissipative Control Designmentioning

confidence: 99%

“…Most of the published work addresses only one or two of these inherent attributes, while ignoring others [17], [18]. (2) Most of the existing results refer to periodic DoS attacks [20], [27], in the present study we deal with aperiodic DoS attacks, and the conditions developed for DoS duration and frequency are closer to the real situation. (3) The AETM is designed to actively balance the negative impact of aperiodic DoS attacks.…”

Section: Introductionmentioning

confidence: 99%

Resilient Adaptive Event-Triggered Control for Singular Networked Cascade Control Systems Under DoS Attacks

Sathishkumar

Liu

2022

IEEE Access

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This paper addresses the problem of resilient adaptive event-triggered control for singular networked cascade control systems (SNCCSs) under time-varying actuator faults, actuator saturation, DoS attacks, external disturbances, and time-varying delay. The purpose of DoS attacks is to obstruct network communication from time to time, which happens aperiodically. According to the adaptive threshold technique, a resilient adaptive event-triggered mechanism (AETM) is developed to reduce the transmission frequency and also combating the aperiodic DoS attacks. Moreover, the discussed SNCCS is modeled as a switched system due to the presence of attacks that is closely restricted by DoS frequency and duration. Then, the exponential admissible analysis and controller synthesis conditions of the resulting switched SNCCS are obtained and the extended dissipative performance is satisfied by using the Wirtinger-based integral inequality and Lyapunov-Krasovskii functional (LKF) approach. Additionally, a co-design method of the primary and secondary controllers and triggering parameters for the system under consideration is given. Simulation results of a boiler-turbine power plant are presented to validate the proposed method.INDEX TERMS Singular networked cascade control systems (SNCCSs); Adaptive event-triggered (ET) control; Actuator saturation; DoS attacks.

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“…Further considering that the gain in the controller will also be affected by uncertain factors and change, in the process of signal transmission between the factory and the controller, there are disturbances that will affect the gain of the controller, so the traditional control method will appear high vulnerability. The resilient control research based on the above uncertain system has stronger robustness and applicability, there have been some studies in this area 19‐23 . Chang et al 20 studies the state‐feedback resilient control problem for lateral motion regulation of an intelligent vehicle in the presence of randomly occurring uncertainties.…”

Section: Introductionmentioning

confidence: 99%

“…Chang et al 20 studies the state‐feedback resilient control problem for lateral motion regulation of an intelligent vehicle in the presence of randomly occurring uncertainties. In Reference 21, the sampled‐data resilient control problem was solved for hybrid nonlinear stochastic systems under periodic DoS attacks.…”

Section: Introductionmentioning

confidence: 99%

Quantized output feedback resilient control of uncertain systems under hybrid cyber attacks

Chang

2022

Adaptive Control & Signal

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This article investigates the output feedback resilient control problem of an uncertain system with two quantized signals under hybrid cyber attacks. First, for uncertain systems, the output signal of the system and the output signal of the controller are quantized once by the quantizers before they are passed to the controller and the system respectively, thus affecting the signal with quantization error terms. At the same time, The adverse effects of hybrid cyber attacks, including denial-of-service attacks and deception attacks, are also taken into account during the signaling process. In this article, a guaranteed cost resilient controller design method is proposed for the above situation so that the closed-loop system can be guaranteed to be stable or to meet the given performance index. In addition, by solving the given set of linear matrix inequalities, the design conditions for the relevant parameters required for the resilient controller can be obtained.Finally, the validity of the design method can be verified by simulation.

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Sampled-Data Resilient Control for Hybrid Nonlinear Stochastic Systems Under Periodic DoS Attacks

Cited by 5 publications

References 42 publications

Event‐triggered quantized L2−L∞$$ {\mathfrak{L}}_2-{\mathfrak{L}}_{\infty } $$ filtering for neural networks under denial‐of‐service attacks

Event‐triggered quantized L2−L∞$$ {\mathfrak{L}}_2-{\mathfrak{L}}_{\infty } $$ filtering for neural networks under denial‐of‐service attacks

Resilient Adaptive Event-Triggered Control for Singular Networked Cascade Control Systems Under DoS Attacks

Quantized output feedback resilient control of uncertain systems under hybrid cyber attacks

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