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Rate allocation for quantized 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. KTH, School of Electrical Engineering (EES), Communication Theory.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: Final Proceedings of the 2009 7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, 2009, Vol. WiOpt 2009, 595-603 p.Conference paper, Published paper (Refereed)
Abstract [en]

To achieve satisfactory overall performance, optimal rate allocation in a networked control system with highly limited communication resources is instrumental. In this paper, a rate allocation technique for state feedback control in linear dynamic systems over a noisy channel is proposed. The method consists of two steps: (i) the overall cost 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. It is shown 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 when compared to arbitrarily selected rate allocations.

Place, publisher, year, edition, pages
2009. Vol. WiOpt 2009, 595-603 p.
Keyword [en]
Best strategy, Constrained optimization problems, High-rate quantization, Limited communication, Linear dynamic system, Monte Carlo Simulation, Networked control systems, Noisy channel, Non-uniform quantization, Optimal rate allocation, Overall costs, Quantized control, Rate allocation, Ad hoc networks, Channel capacity, Computer simulation, Constrained optimization, Control system analysis, Dynamical systems, Feedback, Feedback control, Linear control systems, Monte Carlo methods, Wireless telecommunication systems, State feedback
National Category
Control Engineering Computational Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-28500ISI: 000275175100080Scopus ID: 2-s2.0-74349125742ISBN: 9781424449200 (print)OAI: oai:DiVA.org:kth-28500DiVA: diva2:390906
Conference
7th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Seoul, SOUTH KOREA, JUN 23-27, 2009
Note

QC 20110124

Available from: 2011-01-24 Created: 2011-01-14 Last updated: 2017-06-08Bibliographically approved

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Skoglund, MikaelFischione, CarloJohansson, Karl Henrik

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