2009
DOI: 10.1109/tie.2008.2007553
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Tuning of Control Systems Over CSMA Networks

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Cited by 13 publications
(8 citation statements)
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“…Medium access technology plays one of the important roles in the success of industrial communication. In [3], a soft real-time control system is presented using CSMA. In [4], a novel approach based on contention-based and schedule-based protocol is proposed.…”
Section: Figure 2 Typical Industrial Environmentsmentioning
confidence: 99%
“…Medium access technology plays one of the important roles in the success of industrial communication. In [3], a soft real-time control system is presented using CSMA. In [4], a novel approach based on contention-based and schedule-based protocol is proposed.…”
Section: Figure 2 Typical Industrial Environmentsmentioning
confidence: 99%
“…This class of systems has been used for modeling NCSs [7,11,17,26]. A useful extension to MJS is introduced in [26], in which the system does not depend on s k directly, but it depends on another random parameter θ k whose probability distribution depends on s k .…”
Section: Appendix Amentioning
confidence: 99%
“…An approach similar to the appendix in [17] can be used for reducing the controller design calculations. …”
Section: Appendix Amentioning
confidence: 99%
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“…If a good process model is not available (Tian et al, 2003) or the process model is too complicated (Zhang et al, 2008), which is the usual case in modern industrial processes, the implementation of such methods developed for simple process models becomes questionable. The second problem is that some predictive model controllers and adaptive controllers have been proposed based on the assumption that the network characteristics are well understood in advance (Gabel and Litz, 2004;Martins and Jota, 2010;Tavassoli et al, 2009;Tipsuwan and Chow, 2003). If such an assumption does not hold, it is still difficult to design simple yet effective predictive control algorithms in an NCS with random network-induced delays.…”
Section: Introductionmentioning
confidence: 99%