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Dynamic Scheduling and Control-Quality Optimization of Self-Triggered Control Applications

Samii, Soheil; Eles, Petru; Peng, Zebo; Tabuada, Paulo and Cervin, Anton LU (2010) 31st IEEE Real-Time Systems Symposium
Abstract
Time-triggered periodic control implementations are over provisioned for many execution scenarios in which the states of the controlled plants are close to equilibrium. To address this inefficient use of computation resources, researchers have proposed self-triggered control approaches in which the control task computes its execution deadline at runtime based on the state and dynamical properties of the controlled plant. The potential advantages of this control approach cannot, however, be achieved without adequate online resource-management policies. This paper addresses scheduling of multiple self-triggered control tasks that execute on a uniprocessor platform, where the optimization objective is to find tradeoffs between the control... (More)
Time-triggered periodic control implementations are over provisioned for many execution scenarios in which the states of the controlled plants are close to equilibrium. To address this inefficient use of computation resources, researchers have proposed self-triggered control approaches in which the control task computes its execution deadline at runtime based on the state and dynamical properties of the controlled plant. The potential advantages of this control approach cannot, however, be achieved without adequate online resource-management policies. This paper addresses scheduling of multiple self-triggered control tasks that execute on a uniprocessor platform, where the optimization objective is to find tradeoffs between the control performance and CPU usage of all control tasks. Our experimental results show that efficiency in terms of control performance and reduced CPU usage can be achieved with the heuristic proposed in this paper. (Less)
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Contribution to conference
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published
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conference name
31st IEEE Real-Time Systems Symposium
external identifiers
  • Scopus:79951776912
project
ELLIIT-sched
language
English
LU publication?
yes
id
78a063eb-6b42-48c9-b4de-3ba1ee78f192 (old id 1786753)
date added to LUP
2011-02-14 11:33:53
date last changed
2016-10-30 04:42:40
@misc{78a063eb-6b42-48c9-b4de-3ba1ee78f192,
  abstract     = {Time-triggered periodic control implementations are over provisioned for many execution scenarios in which the states of the controlled plants are close to equilibrium. To address this inefficient use of computation resources, researchers have proposed self-triggered control approaches in which the control task computes its execution deadline at runtime based on the state and dynamical properties of the controlled plant. The potential advantages of this control approach cannot, however, be achieved without adequate online resource-management policies. This paper addresses scheduling of multiple self-triggered control tasks that execute on a uniprocessor platform, where the optimization objective is to find tradeoffs between the control performance and CPU usage of all control tasks. Our experimental results show that efficiency in terms of control performance and reduced CPU usage can be achieved with the heuristic proposed in this paper.},
  author       = {Samii, Soheil and Eles, Petru and Peng, Zebo and Tabuada, Paulo and Cervin, Anton},
  language     = {eng},
  title        = {Dynamic Scheduling and Control-Quality Optimization of Self-Triggered Control Applications},
  year         = {2010},
}