2022
DOI: 10.1109/jsyst.2021.3118333
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Decentralized Resilient Output-Feedback Control Design for Networked Control Systems Under Denial-of-Service

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Cited by 9 publications
(8 citation statements)
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“…In this case, the network utilization of the provided method is compared with previous work (Torabi et al, 2021). As noise and disturbances were not considered in Torabi et al (2021) and in order to provide a similar experimental condition, these effects were not taken into account. The initial conditions of the system are set to x 1 p ( 0 ) = [ 6 , 6 ] T and x 2 p ( 0 ) = [ 6 , 6 ] T .…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…In this case, the network utilization of the provided method is compared with previous work (Torabi et al, 2021). As noise and disturbances were not considered in Torabi et al (2021) and in order to provide a similar experimental condition, these effects were not taken into account. The initial conditions of the system are set to x 1 p ( 0 ) = [ 6 , 6 ] T and x 2 p ( 0 ) = [ 6 , 6 ] T .…”
Section: Simulation Resultsmentioning
confidence: 99%
“…A further consideration is given to time-varying delays which are contained in τ i [ 0 0 . 08 ] . The inter-execution intervals are plotted in Figure 9 where the blue curve is the inter-execution intervals of the method provided in this study and the red curve is the inter-execution intervals of the method provided in Torabi et al (2021). According to simulations, it has been demonstrated that the proposed method is successful in reducing network resource utilization as compared to Torabi et al (2021).…”
Section: Simulation Resultsmentioning
confidence: 99%
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“…The emerging of such systems leads to the introduction of an active research area in the analysis and control of critical infrastructures such as transportation systems and power networks (De Persis and Tesi, 2016). Although CPSs benefit from the increased availability and flexibility, but also have some certain limitations such as the packet drop-out (Hu et al, 2019; Kargar et al, 2019), cyber-attacks (Ding et al, 2018; Feng et al, 2020; Ma et al, 2021; Torabi et al, 2021), fading data (Gu et al, 2020), signal quantization (Cao and Liu, 2019; Chang et al, 2019; Yan et al, 2020), communication delay (Moreno, 2009), and faults (Bahreini and Zarei, 2020; Hassani et al, 2019).…”
Section: Introductionmentioning
confidence: 99%