Abstract
| Language | English |
|---|---|
| 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 | |
| State | 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 |
|---|---|
| Volume | 5469 |
| ISSN (Print) | 0302-9743 |
Conference
| Conference | 12th International Conference on Hybrid Systems: Computation and Control (HSCC 2009) |
|---|---|
| Abbreviated title | HSCC 2009 |
| Country | United States |
| City | San Francisco |
| Period | 13/04/09 → 15/04/09 |
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On event based state estimation. / Sijs, J.; Lazar, M.
Hybrid Systems : Computation and Control. ed. / R. Majumdar; P. Tabuada. Berlin : Springer, 2009. p. 336-350 (Lecture Notes in Computer Science; Vol. 5469).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic
TY - CHAP
T1 - On event based state estimation
AU - Sijs,J.
AU - Lazar,M.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
U2 - 10.1007/978-3-642-00602-9_24
DO - 10.1007/978-3-642-00602-9_24
M3 - Chapter
SN - 978-3-642-00601-2
T3 - Lecture Notes in Computer Science
SP - 336
EP - 350
BT - Hybrid Systems : Computation and Control
PB - Springer
CY - Berlin
ER -