DocumentCode :
3560931
Title :
Local Adjustment and Global Adaptation of Control Periods for QoC Management of Control Systems
Author :
Tian, Yu-Chu ; Jiang, Xiefu ; Levy, David C. ; Agrawala, Ashok
Author_Institution :
Dept. of Comput. Sci., Univ. of Maryland, College Park, MD, USA
Volume :
20
Issue :
3
fYear :
2012
fDate :
5/1/2012 12:00:00 AM
Firstpage :
846
Lastpage :
854
Abstract :
Linking real-time schedulability directly to the quality of control (QoC), the ultimate goal of a control system, a hierarchical feedback QoC management framework with the fixed priority (FP) and the earliest-deadline-first (EDF) policies as plug-ins is proposed in this brief for real-time control systems with multiple control tasks. It uses a task decomposition model for continuous QoC evaluation even in overload conditions and then employs heuristic rules to adjust the period of each of the control tasks for QoC improvement. If the total requested workload exceeds the desired value, global adaptation of control periods is triggered for workload maintenance. A sufficient stability condition is derived for a class of control systems with delay and period switching of the heuristic rules. Examples are given to demonstrate the proposed approach.
Keywords :
control system synthesis; delays; periodic control; real-time systems; stability; EDF; QoC management; control periods; delay; earliest-deadline-first policies; fixed priority policies; global adaptation; local adjustment; period switching; quality of control; real-time control systems; real-time schedulability; stability condition; task decomposition model; Adaptation model; Processor scheduling; Real time systems; Scheduling; Stability analysis; Switches; Control systems; feedback scheduling; multitasking; period switching; quality of control (QoC) management; stability;
fLanguage :
English
Journal_Title :
Control Systems Technology, IEEE Transactions on
Publisher :
ieee
Conference_Location :
5/5/2011 12:00:00 AM
ISSN :
1063-6536
Type :
jour
DOI :
10.1109/TCST.2011.2141133
Filename :
5762573
Link To Document :
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