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Quantifying and Sup...
Quantifying and Suppressing the Measurement Disturbance in Feedback Controlled Real-Time Systems
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- Amirijoo, Mehdi (author)
- Linköpings universitet,RTSLAB - Laboratoriet för realtidssystem,Tekniska högskolan
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- Gunnarsson, Svante (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Hansson, Jörgen (author)
- Software Engineering Institute, Carnegie Mellon University, Pittsburgh, PA, USA
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- Son, Sang H. (author)
- University of Virginia, USA
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(creator_code:org_t)
- 2008-02-14
- 2008
- English.
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In: Real-time systems. - : Springer. - 0922-6443 .- 1573-1383. ; 40:1, s. 44-76
- Related links:
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http://urn.kb.se/res...
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- 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.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Adaptive scheduling
- Feedback control
- Measurement disturbance
- System disturbance
- TECHNOLOGY
- TEKNIKVETENSKAP
- Automatic control
- Reglerteknik
Publication and Content Type
- ref (subject category)
- art (subject category)
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