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Reduced-Order Predictive Outage Compensators for Networked 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: 0000-0003-1835-2963
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: Proceedings of the combined 48th IEEE Conference on Decision and Control and 28th Chinese Control Conference, Shanghai, P.R. China, 2009, 3775-3780 p.Conference paper, Published paper (Refereed)
Abstract [en]

Control systems utilizing wireless sensor and actuator networks can be severely affected by the properties of the wireless links. Radio fading and interference may cause communication outage of several samples in situations when the radio environment is noisy and low transmission power is desirable. We propose a method to compensate for outages by introducing a predictive outage compensator (POC), which is a filter to be implemented at the receiver sides of networked control systems and that generates artificial samples during the outage. The main contribution of the paper is to show that a POC can be derived based on a Kalman filter formulation and that it is possible to achieve good performance with a low-order implementation based on Hankel norm approximation. Tradeoffs between achievable closed-loop performance, outage length, and POC order are discussed. The results are illustrated on a simulated example of a multiple-tank process.

Place, publisher, year, edition, pages
Shanghai, P.R. China, 2009. 3775-3780 p.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-58483DOI: 10.1109/CDC.2009.5400845ISI: 000336893604044Scopus ID: 2-s2.0-77950851943ISBN: 978-142443871-6 (print)OAI: oai:DiVA.org:kth-58483DiVA: diva2:473143
Conference
Joint 48th IEEE Conference on Decision and Control (CDC) / 28th Chinese Control Conference (CCC), Shanghai, PEOPLES R CHINA
Note

QC 20120112

Available from: 2012-01-05 Created: 2012-01-05 Last updated: 2015-06-10Bibliographically approved

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