2013 IEEE 34th Real-Time Systems Symposium 2013
DOI: 10.1109/rtss.2013.23
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The Continuous Stream Model of Computation for Real-Time Control

Abstract: Abstract-This paper presents a new Model of Computation (MoC) for real-time tasks used in control systems. This new model, named continuous stream task model, relaxes some of the constraints imposed by the traditional hard and soft real-time task models. A key advantage of the model is the possibility to easily analyse the probabilistic evolution of the delays. This leads to an easy formalisation of necessary and sufficient conditions for the stochastic stability of the closed loop system producing considerabl… Show more

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Cited by 15 publications
(15 citation statements)
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References 29 publications
(46 reference statements)
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“…Also, they do not define/provide the concept of meaningful finite states that capture the coupling between cyber and physical subsystems described in R3. There are also some models that allow deadline misses [21,22], but they also does not fully address R2 and R3. Therefore, we need a more general task model that captures both the stability and efficiency of CPSes.…”
Section: Why Not Existing Task Models?mentioning
confidence: 99%
“…Also, they do not define/provide the concept of meaningful finite states that capture the coupling between cyber and physical subsystems described in R3. There are also some models that allow deadline misses [21,22], but they also does not fully address R2 and R3. Therefore, we need a more general task model that captures both the stability and efficiency of CPSes.…”
Section: Why Not Existing Task Models?mentioning
confidence: 99%
“…al. propose a new model for real-time control applications [24] to investigate stochastic stability, but ignoring the dependencies among stochastic variables. In our previous work [25], we have considered the analysis and design of bandwidth-efficient control servers while guaranteeing stability.…”
Section: Related Workmentioning
confidence: 99%
“…In [FPA13], the authors propose another execution model for realtime control applications to investigate stochastic stability, but ignoring the dependencies among stochastic variables, hence no hard stability guarantees.…”
Section: State Of the Artmentioning
confidence: 99%
“…However, since then, the problem of designing such servers in a systematic manner was the main obstacle in using these servers. Current practice either considers simplified fluid execution models [FPG13] or ignores the dependencies among stochastic variables, which leads to lack of hard stability guarantees [FPA13]. In Chapter 4, we not only address the problem of optimal control server design to guarantee stability with the minimum bandwidth usage, but also provide analytical bounds on the amount of pessimism involved in our proposed approach.…”
Section: Optimal Stabilizing Control Serversmentioning
confidence: 99%
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