Finite-time distributed resilient state estimation subject to hybrid cyber-attacks: a new dynamic event-triggered case

Sun, Yonghe; Tian, Xin; Wei, Guoliang

doi:10.1080/00207721.2022.2083256

Cited by 47 publications

(18 citation statements)

References 38 publications

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“…The simulation results have demonstrated that the estimation effect is realized by utilizing the developed estimator. Taking account of future research directions, we would like to (1) extend the proposed estimation approach in this article to handle other issues including set‐membership state estimation, 24 synchronization control, 47 and fusion estimation, 3 and (2) design fault estimators using other methods such as Kalman filtering 48,49 and Riccati difference equation 36,50 …”

Section: Discussionmentioning

confidence: 99%

“…Taking account of future research directions, we would like to (1) extend the proposed estimation approach in this article to handle other issues including set-membership state estimation, 24 synchronization control, 47 and fusion estimation, 3 and (2) design fault estimators using other methods such as Kalman filtering 48,49 and Riccati difference equation. 36,50 NOTATIONS R m m-dimensional Euclidean space A > 0 A is positive definite…”

Section: Discussionmentioning

confidence: 99%

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A non‐fragile approach to fault estimation for a class of multi‐rate systems under binary encoding schemes

Hou,

Wang,

Shen

et al. 2023

Intl J Robust & Nonlinear

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This article is concerned with the non‐fragile fault estimation issue for a class of multi‐rate systems under binary encoding schemes (BES). A specific dynamics relationship with zero second‐order difference is employed to characterize the evolution of the actuator fault. The signal communication is regulated by the BESs, where the resulting random bit errors are characterized by a certain stochastic noise. The aim of this article is to design a fault estimator such that the estimation error dynamics is exponentially ultimately bounded in mean square. First, an equivalent single‐rate system is formulated via the lifting technique. Then, by virtue of the stochastic analysis method and the matrix inequality approach, sufficient conditions are developed to ensure the existence of the desired fault estimator. Finally, the effectiveness of the proposed estimator design strategy is testified through a simulation example.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A non‐fragile approach to fault estimation for a class of multi‐rate systems under binary encoding schemes

Hou,

Wang,

Shen

et al. 2023

Intl J Robust & Nonlinear

View full text Add to dashboard Cite

show abstract

“…34,35 In applications of engineering, such as missile systems, network communication systems, and so forth, the public tend to be more interested in the behavior of dynamic systems within the finite-time interval. 36 That is to say, it is significant to make systems meeting the relevant performance requirements in finite time. Therefore, the finite-time stability of dynamic systems has attracted more and more attention.…”

Section: Introductionmentioning

confidence: 99%

“…In the existing literature on FD, results have mostly focused on the Lyapunov stability of the dynamic systems on infinite interval 34,35 . In applications of engineering, such as missile systems, network communication systems, and so forth, the public tend to be more interested in the behavior of dynamic systems within the finite‐time interval 36 . That is to say, it is significant to make systems meeting the relevant performance requirements in finite time.…”

Section: Introductionmentioning

confidence: 99%

Finite‐time fault detection for nonlinear delayed system with dynamic quantization and multiple packet dropouts

Zhao

2023

Optim Control Appl Methods

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The attention of this article is mainly paid to the finite‐time fault detection (FD) problem for nonlinear delayed system with dynamic quantization and multiple packet dropouts. The probabilistic interval time‐varying delay is addressed, which might fall into two intervals with known probability. The measurement signals are quantized by a dynamic quantizer and then transmitted over communication network, where the multiple packet dropouts might occur. The main objective of the considered problem is to design a finite‐time FD filter such that the FD system is stochastically finite‐time stable (SFTS) with guaranteed performance in the presence of probabilistic interval time‐varying delay, dynamic quantization and multiple packet dropouts. Based on Lyapunov stability theory, sufficient criteria for the presence of the desired finite‐time FD filter are presented. Afterwards, the desired filter gain matrices are given via solving certain linear matrix inequalities (LMIs). Finally, a simulation example is used to show the applicability of the obtained finite‐time FD algorithm.

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“…However, the communication bandwidth is a scarce resource which needs to be properly utilized (Yang et al, 2020). At present, the event-triggered mechanism (ETM) is popular as an effective communication strategy (Deng et al, 2021a; Gao et al, 2020; Han and Lian, 2021; Liang et al, 2021; Qu, et al, 2022; Sun et al, 2022; Tan et al, 2023). The results show that the network resources can be effectively saved and the network environment can be optimized by combining the ETM with the NPCM.…”

Section: Introductionmentioning

confidence: 99%

Event-triggered nonfragile predictive control for networked control system with redundant channels

Zhao

Chen

2023

Transactions of the Institute of Measurement and Control

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This paper is concerned with the nonfragile predictive control problem for the networked control system (NCS) with input delay and network-induced time delays (NITDs). First, the transmission strategy governed by redundant channels is introduced to reduce the occurrence of data packet dropout between the sensor and the observer. Moreover, the event-triggered mechanism (ETM) is employed to save the network resources, where the maximum triggered interval is given. Subsequently, a nonfragile networked predictive control scheme (NPCS) is designed to address the input delay and the NITDs. Accordingly, the sufficient criterion ensuring mean-square exponential stability (MSES) is derived by employing the Lyapunov–Krasovskii stability theorem. Both the observer gain matrix (OGM) and the controller gain matrix (CGM) are gained through solving the nonlinear minimization problem with convex constraints. Finally, a simulation example is utilized to demonstrate the usefulness of the proposed main results.

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Finite-time distributed resilient state estimation subject to hybrid cyber-attacks: a new dynamic event-triggered case

Cited by 47 publications

References 38 publications

A non‐fragile approach to fault estimation for a class of multi‐rate systems under binary encoding schemes

A non‐fragile approach to fault estimation for a class of multi‐rate systems under binary encoding schemes

Finite‐time fault detection for nonlinear delayed system with dynamic quantization and multiple packet dropouts

Event-triggered nonfragile predictive control for networked control system with redundant channels

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