Robust performance of soft real-time networked control systems with data dropouts

This paper derives the power spectral density (PSD) of the output generated by a discrete-time feedback control system in which feedback measurements are dropped with a known probability, /spl epsi/. This class of systems is a model for soft real-time control systems in which the feedback path is im...

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Published inProceedings of the 41st IEEE Conference on Decision and Control, 2002 Vol. 2; pp. 1225 - 1230 vol.2
Main Authors Qiang Ling, Lemmon, M.D.
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Online AccessGet full text
ISBN0780375165
9780780375161
ISSN0191-2216
DOI10.1109/CDC.2002.1184681

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Abstract This paper derives the power spectral density (PSD) of the output generated by a discrete-time feedback control system in which feedback measurements are dropped with a known probability, /spl epsi/. This class of systems is a model for soft real-time control systems in which the feedback path is implemented on a nondeterministic computer network. The PSD computed in this paper is a function of the dropout probability. The dropout probability is taken as a measure of the network quality of service (QoS). Based on the derived PSD, the power semi-norm of the output is predicted. So a direct way of linking control system performance(as measured by the power semi-norm of the output) to the network's QoS (as measured by the dropout probability) is provided.
AbstractList This paper derives the power spectral density (PSD) of the output generated by a discrete-time feedback control system in which feedback measurements are dropped with a known probability, /spl epsi/. This class of systems is a model for soft real-time control systems in which the feedback path is implemented on a nondeterministic computer network. The PSD computed in this paper is a function of the dropout probability. The dropout probability is taken as a measure of the network quality of service (QoS). Based on the derived PSD, the power semi-norm of the output is predicted. So a direct way of linking control system performance(as measured by the power semi-norm of the output) to the network's QoS (as measured by the dropout probability) is provided.
Author Qiang Ling
Lemmon, M.D.
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  organization: Dept. of Electr. Eng., Notre Dame Univ., IN, USA
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Snippet This paper derives the power spectral density (PSD) of the output generated by a discrete-time feedback control system in which feedback measurements are...
SourceID ieee
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StartPage 1225
SubjectTerms Density measurement
Feedback control
Networked control systems
Output feedback
Power generation
Power measurement
Power system modeling
Quality of service
Real time systems
Robust control
Title Robust performance of soft real-time networked control systems with data dropouts
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Volume 2
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