Dynamic Event-Triggered Output Feedback Control for Networked Systems Subject to Multiple Cyber Attacks

Zha, Lijuan; Liao, Rongfei; Liu, Jinliang; Xie, Xiangpeng; Tian, Engang; Cao, Jinde

doi:10.1109/tcyb.2021.3125851

Cited by 105 publications

(35 citation statements)

References 33 publications

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“…Owing to the influence caused by the torus-event-based mechanism and the time delay, the fuzzy premise variables of  ∞ fuzzy controllers shown in (11) are not consistent with those of the networked T-S fuzzy system in (2). In other words, 𝜚 i (𝜔(t)) and 𝜚 j (𝜔(t k h)) are asynchronous.…”

Section: Fuzzy Control With Asynchronous Premise Variablesmentioning

confidence: 99%

“…The networked control systems (NCSs) are a class of integrated digital systems, where the control components such as plants, sensors, controllers, and actuators are connected via real-time communication network. 1,2 Compared with the traditional control systems based on a point-to-point connection, the NCSs have many advantages of easy installation and maintenance, low cost-effectiveness, as well as high flexibility and reliability. 3 Thanks to these distinctive advantages, the NCSs have been widely utilized in the fields of smart factory, telemedicine, remote monitoring, and so forth.…”

Section: Introductionmentioning

confidence: 99%

“…Besides, the dynamic ETSs are developed to entirely avoid the Zeno behavior. 2,18,19 However, the proposed dynamic triggered conditions only take the current and the latest triggering data into consideration. To better reflect the system transient characteristics, a great deal of memory-based ETSs have paid much attention in recent research achievements.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

An adaptive torus‐event‐based controller design for networked T‐S fuzzy systems under deception attacks

Zhu

Liu

2021

Intl J Robust & Nonlinear

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This article addresses the adaptive torus-event-based  ∞ control problem for a class of networked Takagi-Sugeno (T-S) fuzzy systems under deception attacks. Due to the inherent openness of the network, the inevitable deception attacks in the networked T-S fuzzy systems always appear randomly. The occurrence of deception attacks is successfully described by using a binary stochastic variable with known statistical characteristics. Under the considered adaptive torus-event-based communication mechanism,  ∞ fuzzy controllers are constructed to guarantee the asymptotically mean-square stability (AMSS) and the  ∞ index of the networked T-S fuzzy systems under deception attacks. To design the desired  ∞ fuzzy controllers, a unified framework of the networked T-S fuzzy systems is first established via the adaptive torus-event-based communication mechanism, the mathematical model of deception attacks, and the asynchronous premise technology. By utilizing the extended Lyapunov function, the sufficient conditions are simultaneously derived to address the AMSS and the disturbance suppression issues of closed-loop control systems. Subsequently, the adaptive torus-event-based  ∞ fuzzy controller gains are calculated via linear matrix inequalities. Finally, a simulation example concerning the tunnel circuit system is established to verify the availability and reliability of the proposed control mechanism.

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Section: Fuzzy Control With Asynchronous Premise Variablesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An adaptive torus‐event‐based controller design for networked T‐S fuzzy systems under deception attacks

Zhu

Liu

2021

Intl J Robust & Nonlinear

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“…Owing to the system safety requirements, the estimator design confronting multiple cyber attacks is now attracting research. 40,41 Fortunately, the proposed IDB attack strategy in this article can be easily extended to the above case as follows:…”

Section: Important-data-based Attack Modelmentioning

confidence: 99%

“…Remark Owing to the system safety requirements, the estimator design confronting multiple cyber attacks is now attracting research 40,41 . Fortunately, the proposed IDB attack strategy in this article can be easily extended to the above case as follows:

{\tilde{y}}_i(k)=\left(1-{\lambda}_i(k)\right)\left({\beta}_i(k){y}_i(k)+\left(1-{\beta}_i(k)\right){\overline{y}}_i(k)\right),

where

{\tilde{y}}_i(k)

is the measurement that the estimator received and

{\overline{y}}_k

represents the deception attack data of the

i

th node.…”

Section: Complex Network and Idb Attack Modelmentioning

confidence: 99%

Novel attack‐defense framework for nonlinear complex networks: An important‐data‐based method

Wang

Wei

Liu

2022

Intl J Robust & Nonlinear

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This article addresses the state estimation problem for a class of nonlinear complex networks (CNs) under attack. First, a novel important-data-based (IDB) attack strategy is skillfully proposed from the adversary's point of view to maximize the attack effect. Different from most existing attack models, the IDB attacker has the ability to eavesdrop measurements and only attacks the packets which play an important role in the system. As such, a larger system performance degradation can be expected. Second, a new kind of resilient H ∞ estimator is designed, from the perspective of the defenders, to alleviate the negative effect of the attack. In a word, a novel unified attack-defense framework for nonlinear CNs is established. In order to make up for the defect that the IDB attacker's parameter is unknown to the defender, an algorithm is developed to approximate the attack parameter. With the help of the Lyapunov functional method, sufficient conditions are obtained to resist the proposed IDB attack and ensure the H ∞ performance of the augmented system. At last, two examples are given to demonstrate the destructiveness of the proposed IDB attack strategy and the effectiveness of the developed resilient H ∞ estimator, respectively.

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Quantized H∞$$ {H}_{\infty } $$ output feedback control for uncertain impulsive switched systems via a hybrid control approach

Mao,

Zhu,

Zheng

2023

Adaptive Control & Signal

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SummaryThis article investigates the quantized dynamical output feedback (DOF) control problem for uncertain impulsive switched systems (ISSs) with multiple state impulsive jumps, where the static quantization strategy is applied to quantize the control input to improve the signal transmission capacity of ISSs. First, to correspond the abrupt changes for states of ISSs at switching moments, the controller states are also allowed to jump besides the system state jumps of ISSs, which increases the universality of the impulsive behavior in ISSs. Second, the multiple Lyapunov functions approach and the average dwell time switching strategy are applied to derive the sufficient conditions that guarantee the stability and weighted performance of the closed‐loop uncertain ISSs. The desired hybrid controllers comprising of DOF controllers for every subsystem and controller state update rules at switching instants can be constructed by solving a set of linear matrix inequalities. Finally, a numerical example is provided to verify the effectiveness of the obtained results.

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Dynamic Event-Triggered Output Feedback Control for Networked Systems Subject to Multiple Cyber Attacks

Cited by 105 publications

References 33 publications

An adaptive torus‐event‐based controller design for networked T‐S fuzzy systems under deception attacks

An adaptive torus‐event‐based controller design for networked T‐S fuzzy systems under deception attacks

Novel attack‐defense framework for nonlinear complex networks: An important‐data‐based method

Quantized H∞$$ {H}_{\infty } $$ output feedback control for uncertain impulsive switched systems via a hybrid control approach

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