Residual generation and evaluation of networked control systems subject to random packet dropout

Wang, Yongqiang; Ye, Hao; Ding, Steven X.; Wang, Guizeng; Zhou, Donghua

doi:10.1016/j.automatica.2009.06.031

Cited by 71 publications

(65 citation statements)

References 15 publications

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“…The delay issue is considered for example in [10,17,31,32]. In [19], the authors deal with the design of robust FD systems for NCS with large transfer delays, in which it is impossible to totally decouple the fault effects from unknown inputs.…”

Section: Introductionmentioning

confidence: 99%

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Sensor scheduling strategies for fault isolation in networked control system

Sid

2015

ISA Transactions

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Section: Introductionmentioning

confidence: 99%

“…[14] considered the problematic of FD for NCS with both delayed inputs and measurements. In [32,36], the FD system for NCSs with packet dropouts was designed by modeling the NCSs as a Markov jumping linear system (MJLS). In [23], the influence of sampling period on a widely accepted class of optimal fault-detection performance is studied.…”

Section: Introductionmentioning

confidence: 99%

Sensor scheduling strategies for fault isolation in networked control system

Sid

2015

ISA Transactions

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“…The design of fault detection filter for linear discrete-time systems with random time-delays and measurement packet dropouts has been studied in [9]. Parity space-based and observer-based, respectively, haven been used to solve a class of Markov jump systems with measurement packet dropouts in [10,11]. However, the impact of system modeling errors on fault detection is not considered in the above literatures.…”

Section: Introductionmentioning

confidence: 99%

Robust Fault Detection for Uncertain System with Communication Delay and Measurement Missing

Wang¹

2017

2017 2nd International Conference on Mechatronics and Information Technology (ICMIT 2017)

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Abstract:The robust fault detection problem is investigated for a class of norm-bounded uncertain systems with communication delays and multiple measurement packet dropouts. The networked time-delay and missing measurements are modeled as a linear function of the stochastic variable satisfying Bernoulli random binary distribution. A robust fault detection filter based on H ∞ filtering is designed to make residual error system be exponentially mean-square stable and satisfy a prescribed disturbance attenuation level. A sufficient condition is derived in terms of linear matrix inequalities. Numerical examples are given to illustrate the effectiveness of the proposed method.

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“…The dropouts in the fault diagnosis problem over communication networks have been mainly studied in the packetized case [7], [8], [15]. The multi-sensor case was studied in [24] with an invariant observer gain approach, however the use of jump observers that adapt their gains to the network scenario has been proved to enhance the estimation performances [25], [26].…”

Section: Introductionmentioning

confidence: 99%

“…In the majority of the networked fault detection proposals, the threshold is chosen to reduce the FAR to the minimum [10], [11], but without quantifying it. Some works as [7], [8], [12] characterize the mean and variance of the residual and use Markov's inequality to impose a desired FAR bound. However, Markov's inequality is known to be conservative [13].…”

Section: Introductionmentioning

confidence: 99%

Performance Tradeoffs for Networked Jump Observer-Based Fault Diagnosis

Dolz

Peñarrocha

Sanchis

2015

IEEE Trans. Signal Process.

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Abstract-In this paper, we address the fault diagnosis problem for discrete-time multi-sensor systems over communication networks with measurement dropouts. We use the measurement outcomes to model the measurement reception scenarios. Based on this, we propose the use of a jump observer to diagnose multiple faults. We model the faults as slow time-varying signals and introduce this dynamic in the observer to estimate the faults and to generate a residual. The fault detection is assured by comparing the residual signal with a prescribed threshold. We design the jump observer, the residual and the threshold to attain disturbance attenuation, fault tracking and detection conditions and a given false alarm rate. The false alarm rate is upper bounded by means of Markov's inequality. We explore the tradeoffs between the minimum detectable faults, the false alarm rate and the response time to faults of the fault diagnoser. By imposing the disturbances and measurement noises to be Gaussian, we tighten the false alarm rate bound which improves the time needed to detect a fault. A numerical example is provided to illustrate the effectiveness of the theory developed in the paper.Index Terms-Fault diagnosis, false alarm rate, time to detect faults, jump linear system, dropouts.

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Residual generation and evaluation of networked control systems subject to random packet dropout

Cited by 71 publications

References 15 publications

Sensor scheduling strategies for fault isolation in networked control system

Sensor scheduling strategies for fault isolation in networked control system

Robust Fault Detection for Uncertain System with Communication Delay and Measurement Missing

Performance Tradeoffs for Networked Jump Observer-Based Fault Diagnosis

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