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Optimized rate allocation for state feedback control over noisy channels
KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Communication Theory. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0002-7926-5081
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9810-3478
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0001-9940-5929
2009 (English)In: Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on, IEEE , 2009, 573-578 p.Conference paper, Published paper (Refereed)
Abstract [en]

Optimal rate allocation in a networked control system with highly limited communication resources is instrumental to achieve satisfactory overall performance. In this paper, we propose a rate allocation technique for state feedback control in linear dynamic systems over a noisy channel. Our method consists of two steps: (i) the overall distortion is expressed as a function of rates at all time instants by means of high-rate quantization theory, and (ii) a constrained optimization problem to minimize the overall distortion is solved. We show that a non-uniform quantization is in general the best strategy for state feedback control over noisy channels. Monte Carlo simulations illustrate the proposed scheme, which is shown to have good performance compared to arbitrarily selected rate allocations.

Place, publisher, year, edition, pages
IEEE , 2009. 573-578 p.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-80011DOI: 10.1109/CDC.2009.5399629ISI: 000336893601011Scopus ID: 2-s2.0-77950809873ISBN: 978-1-4244-3871-6 (print)OAI: oai:DiVA.org:kth-80011DiVA: diva2:495922
Conference
48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009; Shanghai; 15 December 2009 through 18 December 2009
Note

QC 20120215

Available from: 2012-02-15 Created: 2012-02-09 Last updated: 2015-06-10Bibliographically approved

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Skoglund, MikaelFischione, CarloJohansson, Karl Henrik

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