Abstract
To reduce the amount of data transfer in networked control systems and wireless sensor networks, measurements are usually taken only when an event occurs, rather than at each synchronous sampling instant. However, this complicates estimation and control problems considerably. The goal of this paper is to develop a state estimation algorithm that can successfully cope with event based measurements. Firstly, we propose a general methodology for defining event based sampling. Secondly, we develop a state estimator with a hybrid update, i.e. when an event occurs the estimated state is updated using measurements; otherwise the update makes use of the knowledge that the monitored variable is within a bounded set that defines the event. A sum of Gaussians approach is employed to obtain a computationally tractable algorithm.
Original language | English |
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Title of host publication | Hybrid Systems : Computation and Control |
Editors | R. Majumdar, P. Tabuada |
Place of Publication | Berlin |
Publisher | Springer |
Pages | 336-350 |
Number of pages | 15 |
ISBN (Print) | 978-3-642-00601-2 |
DOIs | |
Publication status | Published - 2009 |
Event | 12th International Conference on Hybrid Systems: Computation and Control (HSCC 2009) - San Francisco, United States Duration: 13 Apr 2009 → 15 Apr 2009 Conference number: 12 |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 5469 |
ISSN (Print) | 0302-9743 |
Conference
Conference | 12th International Conference on Hybrid Systems: Computation and Control (HSCC 2009) |
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Abbreviated title | HSCC 2009 |
Country | United States |
City | San Francisco |
Period | 13/04/09 → 15/04/09 |