A delay system approach to networked control systems with limited communication capacity

Dai, Jufeng

doi:10.1016/j.jfranklin.2010.06.007

Cited by 42 publications

(43 citation statements)

References 28 publications

(60 reference statements)

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“…The duration of a mission in many practical systems, such as communication network systems [15], computer systems [10] and control systems [11] Proof. Because all components have the same capacity and all phases have the same load, duration τ i is determined if k and n are specified.…”

Section: The Durations Of Phases Are Affected By the Load And Componementioning

confidence: 99%

Reliability analysis and optimization of equal load-sharing k-out-of-n phased-mission systems

Chen¹,

He²,

Wei³

2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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Reliability analysis and optimization of equal load-shaRing k-out-of-n phased-mission systems analiza niezawodności oRaz optymalizacja systemów fazowych typu "k z n" o Równym podziale obciążenia elementów składowychThere are many studies on k-out-of-n systems, load-sharing systems (LSS) Słowa kluczowe: Właściwa ścieżka uszkodzeń (AFP), algorytm genetyczny (GA), system fazowy (o zadaniach okresowych) (PMS), Model manipulowanej intensywności uszkodzeń (TFR), Uniwersalna funkcja tworząca (UGF).

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Section: The Durations Of Phases Are Affected By the Load And Componementioning

confidence: 99%

Reliability analysis and optimization of equal load-sharing k-out-of-n phased-mission systems

Chen¹,

He²,

Wei³

2015

Eksploatacja i Niezawodnosc - Maintenance and Reliability

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“…Meanwhile, the character of the derivative of time delay term d(t) is taken into consideration. It should be noted that the term t t−αd(t) x T (s)Q 3 x(s) ds has been ignored in [13,20,25].…”

Section: (S) Ds Is Redundant For the Case Oḟ D(t) = 1 While For T T−mentioning

confidence: 99%

“…This section is devoted to solve the problem of stabilisation controller design for NCSs (13). The following theorem presents the conditions for the existence of the desired controller.…”

Section: Stabilisation Controller Design For the Ncss With Transmissimentioning

confidence: 99%

“…However, the introduce of the network also brings about several disadvantages such as time-varying network-induced delays, time-varying sampling intervals, limited bandwidth or data pocket congestion and theses disadvantages might be main resources for influencing the stability and the performance degradation of the NCSs [5][6][7][8][9]. Recently, some works have discussed the control problem of NCSs with delays and dropout packets s [10][11][12][13][14]. These existing results on NCSs are concerned with constant sampling intervals which are not appropriate for time-varying sampling settings.…”

Section: Introductionmentioning

confidence: 99%

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Signal difference‐based deadband control for networked control systems with variable sampling intervals

Liu

Che

Chu

2014

IET Control Theory & Applications

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This study investigates a signal difference-based deadband control approach as a solution to reduce data transmission in networked control systems (NCSs). A new modelling method for the NCSs with time-varying delays, time-varying sampling intervals and signal transmission deadbands is presented. The Lyapunov functional with discontinuity is exploited, which takes full advantages of the NCSs' characteristic information including the bounds of network delay (BND), the bounds of sampling interval (BSI) and the bounds of transmission deadband (BTD). In addition, it has been shown that Lyapunov functional decreases at the jump instants. Furthermore, the new stability analysis and stabilisation conditions for the NCSs are proposed, which describes the relationship of BND, BSI, BTD and the system stability. Three examples are used to demonstrate the effectiveness of the proposed methods. The simulation results have shown that the proposed approach could guarantee the system asymptotically stable and effectively reduce the data transmission in network channel.

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“…In [61] the authors addressed the problem of quantized feedback control for networked control systems. Considering the effects of the network such as delays, packet dropouts and signal quantization a sampled-data model of the closed loop feedback system based on the updating sequence of event-driven holder was formulated, from which a continuous system with two additive delay components in the state was developed.…”

Section: Models Incorporating Multiple Network Phenomenamentioning

confidence: 99%

Stabilization of Networked Control Systems With Random Delays

Luan

Shi

Liu

2011

IEEE Trans. Ind. Electron.

157

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A delay system approach to networked control systems with limited communication capacity

Cited by 42 publications

References 28 publications

Reliability analysis and optimization of equal load-sharing k-out-of-n phased-mission systems

Reliability analysis and optimization of equal load-sharing k-out-of-n phased-mission systems

Signal difference‐based deadband control for networked control systems with variable sampling intervals

Stabilization of Networked Control Systems With Random Delays

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