Paper Info
Title
Dynamic Scheduling and Control-Quality Optimization of Self-Triggered Control Applications
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 trade-offs 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.
Year
DOI
Venue
2010
10.1109/RTSS.2010.10
RTSS
Keywords
Field
DocType
execution deadline,self-triggered control applications,control-quality optimization,execution scenario,multiple self-triggered control task,control approach,time-triggered periodic control implementation,control task,dynamic scheduling,cpu usage,control performance,self-triggered control approach,controlled plant,control systems,mathematical model,resource manager,optimization,schedules
Uniprocessor system,Heuristic,Scheduling (computing),Computer science,CPU time,Provisioning,Real-time computing,Schedule,Control system,Dynamic priority scheduling,Embedded system,Distributed computing
Conference
ISSN
Citations 
PageRank 
1052-8725
13
0.84
References 
Authors
11
5
Name
Order
Citations
PageRank
Soheil Samii116516.67
PETRU ELES22366174.65
ZEBO PENG32422183.67
Paulo Tabuada44281264.80
Anton Cervin590166.56