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

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Author

  • Soheil Samii
  • Petru Eles
  • Zebo Peng
  • Paulo Tabuada
  • Anton Cervin

Summary, in English

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.

Publishing year

2010

Language

English

Document type

Conference paper

Topic

  • Control Engineering

Conference name

31st IEEE Real-Time Systems Symposium

Conference date

2010-11-30

Status

Published

Project

  • ELLIIT LU P02: Co-Design of Robust and Secure Networked Embedded Control Systems
  • ELLIIT-sched

Research group

  • LCCC