Robust Fault Detection Filter Design of Networked Control Systems

Ye, Hui; Wen, Liyan

doi:10.1109/access.2019.2943891

Cited by 6 publications

(5 citation statements)

References 22 publications

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“…In Reference [132], a closed-loop controller model considering cyber-attacks and the mixed-triggering scheme, was proposed. In Reference [133], a robust fault detection scheme for networked control systems (NCSs) was developed with limited quality of services (QoS), such as networkinduced time delay, data dropout, and error sequence. In Reference [134], a survey on time-delay approach to networked control systems (NCSs) was provided, which discusses the fundamental network-induced issues in NCSs and the main approaches to the modeling of NCSs.…”

Section: Development Of Ncs From 2011 Onwardsmentioning

confidence: 99%

A Comprehensive Review of the Evolution of Networked Control System Technology and Its Future Potentials

et al. 2021

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Networked control systems (NCSs) are attracting the attention of control system engineers. The NCS has created a paradigm shift in control system technology. An NCS consists of control loops joined through communication networks in which both the control signal and the feedback signal are exchanged between the system and the controller. However, its materialization faces several challenges as it requires the integration of advanced control and communication techniques. This paper presents an extensive review of NCSs from the perspective of control system design. The evolution of NCSs is broadly divided in three phases, namely NCSs prior to 2000, NCSs during 2001–2010, and NCSs from 2011 onwards. This division corresponds to the initial status, intermediate status, and the recent status of the developments in the design of NCSs. The advancement of different control techniques during these phases has been discussed comprehensively. This paper also describes the transition of control systems form continuous domain to networked domain, which makes it better than the traditional control systems. Some important practical applications, which have been implemented using NCSs, have also been discussed. The thrust areas for future research on NCS have also been identified.

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Section: Development Of Ncs From 2011 Onwardsmentioning

confidence: 99%

A Comprehensive Review of the Evolution of Networked Control System Technology and Its Future Potentials

et al. 2021

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“…Proof: The proof follows the similar reasoning as the one employed in the proof of Theorem 1. Similarly as presented in [4], [10], the structure of matricesQ i andQ −1 i of (18)- (21), andQ i andQ −1 i of (22)- (25), arẽ…”

Section: B H 2 Sfdcmentioning

confidence: 99%

“…Over the last decades, the demand for systems with high reliability has increased, and for that reason, there is an increase in the demand for control solutions that aim to optimize not only the performance but also the safety levels. The most recent control solutions developed under this premise are the so-called Fault Detection and Isolation (FDI) approach [1], [13], [25], or Fault-Tolerant Control (FTC) approach [16], [17], [27]. Both solutions aim to increase the reliability using completely different methods, therefore, a straightforward way to increase the reliability would be the implementation of both approaches in parallel.…”

Section: Introductionmentioning

confidence: 99%

$H_2$ /$H_\infty$ Simultaneous Fault Detection and Control for Markov Jump Linear Systems With Partial Observation

2020

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We focus on the Simultaneous Fault Detection and Control (SFDC) in the context of Markov Jump Linear Systems (MJLS). The main novelty of the paper is the design of H ∞ and H 2 SFDC under the MJLS framework considering partial observation of the Markov chain. Both designs are obtained via Bilinear Matrix Inequalities optimization problem. As secondary results we provide a Mixed H 2 /H ∞ SFDC under the same set up, as well as the implementation of a coordinated descent algorithm to solve the optimization problem formulated as Bilinear Matrix Inequalities (BMI). To illustrate the viability of the proposed solution a numerical example is provided. INDEX TERMS Markovian jump linear systems, simultaneous fault detection and control, hidden markov mode, H ∞ norm, H 2 norm.

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“…For example, in [26], under the random deception attack and input constraint, the filtering for nonlinear stochastic systems is studied. Literatures [27], [28], [29] take into account the design of fault detection filters for NCSs in complex network environments. In [30], [31], the H ∞ filtering for fuzzy system with quantization is discussed.…”

Section: Introductionmentioning

confidence: 99%

Event-Triggered H_∞ Filtering for Networked Systems Under Hybrid Probability Deception Attacks

Deng

et al. 2020

IEEE Access

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In this paper, the deception attacks are the research object, which are widely concerned in cyber attacks, and the feasibility of H ∞ filtering for networked system based on event-triggered mechanism (ETM) is discussed. Firstly, in order to avoid waste of limited bandwidth, the ETM are introduced. At the same time, considering the impact of two types of different deception attacks, we introduce respectively two sets of random variables satisfying the Bernoulli distribution to depict the probability of the data transmitted by the network being subjected to deception attacks and the switching law of two types of deception attacks. Furthermore, a function model in accordance with the above situation is established. Then, by using Lyapunov-Krasovskii functional (LKF) and linear matrix inequalities (LMIs) techniques, the stability criterion of the established system model and the display expression of filter parameters are obtained. For the single integral terms in the derivative of LKF, we utilize Jensen's Inequality and reciprocally convex combination lemma (RCCL) to process them. Finally, the feasibility of the proposed method is verified by a simulation example. INDEX TERMS H ∞ filter design, event-triggered mechanism, deception attack, Lyapunov-Krasovskii functional.

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Robust Fault Detection Filter Design of Networked Control Systems

Cited by 6 publications

References 22 publications

A Comprehensive Review of the Evolution of Networked Control System Technology and Its Future Potentials

A Comprehensive Review of the Evolution of Networked Control System Technology and Its Future Potentials

$H_2$ /$H_\infty$ Simultaneous Fault Detection and Control for Markov Jump Linear Systems With Partial Observation

Event-Triggered H_∞ Filtering for Networked Systems Under Hybrid Probability Deception Attacks

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Robust Fault Detection Filter Design of Networked Control Systems

Cited by 6 publications

References 22 publications

A Comprehensive Review of the Evolution of Networked Control System Technology and Its Future Potentials

A Comprehensive Review of the Evolution of Networked Control System Technology and Its Future Potentials

$H_2$ /$H_\infty$ Simultaneous Fault Detection and Control for Markov Jump Linear Systems With Partial Observation

Event-Triggered H∞ Filtering for Networked Systems Under Hybrid Probability Deception Attacks

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Event-Triggered H_∞ Filtering for Networked Systems Under Hybrid Probability Deception Attacks