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Minimum-energy packet forwarding policies for guaranteed LQG performance in wireless control systems
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.ORCID iD: 0000-0003-4733-2240
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
2012 (English)In: 2012 IEEE 51st Annual Conference on Decision and Control (CDC), IEEE , 2012, 3341-3346 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper studies minimum-energy packet forwarding policies for communicating sensor measurements from plant to controller over an unreliable multi-hop wireless network so as to guarantee that the optimal controller achieves a prespecified closed-loop performance. For fixed sampling interval, we demonstrate that the minimal linear-quadratic control loss is monotonically decreasing in the reliability of the sensor-to-controller communication. This allows us to decompose the overall design problem into two separate tasks: finding the minimum end-to-end reliability that allows to achieve a prespecified linear-quadratic loss, and developing minimum-energy packet forwarding policies under a deadline-constrained reliability requirement. We develop optimal solutions for both subproblems and show how the co-designed system with minimum forwarding energy cost and guaranteed LQG control performance can be found by a one-dimensional search over admissible sampling periods. The paper ends with a numerical example which demonstrates the effectiveness of the proposed framework.

Place, publisher, year, edition, pages
IEEE , 2012. 3341-3346 p.
Series
IEEE Conference on Decision and Control. Proceedings, ISSN 0191-2216
Keyword [en]
Networks, Delay
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-104769DOI: 10.1109/CDC.2012.6426253ISI: 000327200403112Scopus ID: 2-s2.0-84874270942ISBN: 978-1-4673-2066-5 (print)OAI: oai:DiVA.org:kth-104769DiVA: diva2:567292
Conference
51st IEEE Conference on Decision and Control, CDC 2012; Maui, HI; United States; 10 December 2012 through 13 December 2012
Funder
ICT - The Next Generation
Note

QC 20121116

Available from: 2012-11-20 Created: 2012-11-12 Last updated: 2013-12-19Bibliographically approved

Open Access in DiVA

cdc2012(344 kB)188 downloads
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Type fulltextMimetype application/pdf

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