Quantifying and suppressing the measurement disturbance in feedback controlled real-time systems

In the control of continuous and physical systems, the controlled system is sampled sufficiently fast to capture the dynamics of the system. In general, this property cannot be applied to the control of computer systems as the measured variables are often computed over a data set, e.g., deadline mis...

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Bibliographic Details
Published inReal-time systems Vol. 40; no. 1; pp. 44 - 76
Main Authors Amirijoo, Mehdi, Hansson, Jörgen, Gunnarsson, Svante, Son, Sang H.
Format Journal Article
LanguageEnglish
Published Boston Springer US 01.10.2008
Springer Nature B.V
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Summary:In the control of continuous and physical systems, the controlled system is sampled sufficiently fast to capture the dynamics of the system. In general, this property cannot be applied to the control of computer systems as the measured variables are often computed over a data set, e.g., deadline miss ratio. In this paper we quantify the disturbance present in the measured variable as a function of the data set size and the sampling period, and we propose a feedback control structure that suppresses the measurement disturbance. The experiments we have carried out show that a controller using the proposed control structure outperforms a traditional control structure with regard to performance reliability.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0922-6443
1573-1383
1573-1383
DOI:10.1007/s11241-008-9048-3