Event‐triggered distributed fault detection over sensor networks in finite‐frequency domain

Ju, Yamei; Wei, Guoliang; Ding, Derui; Liu, Shuai

doi:10.1049/iet-cta.2018.6285

Cited by 12 publications

(5 citation statements)

References 40 publications

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“…Relying on the event-triggered law, the signal to be transmitted can be dynamically selected in advance by event generator as the system evolves, which will completely effectively reduce the pressure on the communication network. Thus, the ETS has been extensively investigated in various systems recently (Hu and Yue, 2012;Ju et al, 2019;Li and Shi, 2014;Rahnama et al, 2018;Rakkiyappan et al, 2018;Wang et al, 2015b;Zhang and Peng, 2015;Yu et al, 2018). For example, Li and Shi (2014) investigated the event-triggered model predictive control problem for continuous-time nonlinear systems under bounded disturbances.…”

Section: Introductionmentioning

confidence: 99%

“…Notice that, the ETS in the above discussions is implemented with a fixed threshold (Ning et al, 2019;Gu et al, 2020;Ju et al, 2019;Li and Shi, 2014;Rahnama et al, 2018;Rakkiyappan et al, 2018), in which the triggering condition can only make limited adjustments with the evolution of system dynamics. Consequently, it is difficult to follow the variations of the system dynamics and adjust itself to constantly keep the data transmission rate (DTR) at a lower level.…”

Section: Introductionmentioning

confidence: 99%

“…Among these issues, the FD problem for MJSs has emerged as a popular topic in the control community due to the increasing requirements of reliability and security in many industrial fields including chemical production processes, aircraft systems, intelligent transportations and robotic manipulation (Dong et al, 2018;Shen et al, 2019). Many valuable results of FD issue for MJSs and NCSs have been reported recently (see Liu et al (2019a); Qiao et al (2018); Wang et al (2020); Ju et al (2019); Li Y, Karimi HR, Zhang Q, et al (2018); Wu et al (2018); Liu et al (2019b)). For instance, an event-based FDF design method has been proposed for nonhomogeneous Markovian jump systems in Wu et al (2018).…”

Section: Introductionmentioning

confidence: 99%

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Adaptive event-triggered fault detection for Markovian jump systems with network time-delays

Liu

Sun

et al. 2021

Transactions of the Institute of Measurement and Control

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In this paper, the adaptive event-triggered fault detection (FD) problem is investigated for Markovian jump systems (MJSs) with network time-delays and data package dropouts. First, a novel event-triggered communication strategy with an adaptive threshold is introduced to screen the sampled signals and reduce the data releasing frequency. Consequently, the limited communication resources and network bandwidth are saved as much as possible. Second, since communication links between the plant and filter are considered to be unreliable, the effects of intermittent package dropouts phenomenon and network time-delays are taken into account simultaneously. By using time-delay system method, the network-induced phenomena, adaptive event-triggered strategy and MJSs are unified into a networked MJSs time-delay system. Then, sufficient conditions are developed such that the resulting residual system is mean-square exponentially stable with the desired [Formula: see text] performance. Finally, a numerical example of the F-404 aircraft engine system is provided to illustrate the effectiveness and potential of the proposed design method.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive event-triggered fault detection for Markovian jump systems with network time-delays

Liu

Sun

et al. 2021

Transactions of the Institute of Measurement and Control

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“…To achieve the purpose of FD, many advanced technologies have been applied, for instance observer method [7], filter strategy [8] and least‐squares scheme [9]. On this basis, many research results have been published in the field of FD in the past few decades, such as Su et al [10] present an observer‐based FD filter for non‐linear switched stochastic systems with Brownian motion in the Takagi–Sugeno (T–S) fuzzy frame.…”

Section: Introductionmentioning

confidence: 99%

Fault detection for a class of uncertain Lipschitz systems with time delays in finite‐frequency domain

Peng

Cai

2020

IET Control Theory & Appl

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“…For a desired fault detection, the residual should be robust to disturbances and simultaneously sensitive to faults. By introducing

H_{\infty}

norm and

H_{-}

index (namely, the smallest non‐zero singular value of a transfer matrix) to measure disturbance robustness and fault sensitivity, some suboptimal fault detection filters were developed to make a compromise between disturbance robustness and fault sensitivity for different network systems [27–30]. Recently, in [31], a trade‐off approach for optimal event‐triggered fault detection was developed under the ratio‐type performance index by evaluating the effects of faults, disturbances and event‐triggered transmission errors on the residual.…”

Section: Introductionmentioning

confidence: 99%

Parity space‐based optimal event‐triggered fault detection

Qiu

Wang

2020

IET Control Theory & Appl

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The article investigates the problem of parity space‐based optimal fault detection for event‐triggered systems. By introducing a novel parity vector based event‐triggering mechanism, and taking the effects of faults, disturbances and event‐triggered transmission errors on the residual into consideration, it is proven that the optimal parity vector for time‐triggered residual generator, which can make a trade‐off between fault sensitivity and disturbance robustness, is also optimal for event‐triggered counterpart, as both fault and disturbance information are included in the event‐triggered transmission error. Then, a time‐varying threshold is designed for residual evaluation by accounting for the effects of disturbance and event‐triggered transmission errors on the residual. Based on this, a quantitative analysis of the influence of the event‐triggering mechanism on false alarm rate is developed, which provides a way to choose the event‐triggered parameter from the viewpoint of fault diagnosis. Moreover, the proposed method is extended to event‐triggered systems with packet dropouts. Finally, a benchmark model of the vehicle lateral dynamic system is utilized to demonstrate the effectiveness and superiority of the proposed parity space‐based optimal event‐triggered fault detection approach.

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Event‐triggered distributed fault detection over sensor networks in finite‐frequency domain

Cited by 12 publications

References 40 publications

Adaptive event-triggered fault detection for Markovian jump systems with network time-delays

Adaptive event-triggered fault detection for Markovian jump systems with network time-delays

Fault detection for a class of uncertain Lipschitz systems with time delays in finite‐frequency domain

Parity space‐based optimal event‐triggered fault detection

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