On event based state estimation

J. Sijs; M. Lazar

doi:10.1007/978-3-642-00602-9_24

On event based state estimation

J. Sijs, M. Lazar

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic

58 Citations (Scopus)

300 Downloads (Pure)

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
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	https://doi.org/10.1007/978-3-642-00602-9_24
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
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

Access to Document

10.1007/978-3-642-00602-9_24

Metis230979Final published version, 681 KB

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Sijs, J & Lazar, M 2009, On event based state estimation. in R Majumdar & P Tabuada (eds), Hybrid Systems : Computation and Control. Lecture Notes in Computer Science, vol. 5469, Springer, Berlin, pp. 336-350, 12th International Conference on Hybrid Systems: Computation and Control (HSCC 2009), San Francisco, United States, 13/04/09. https://doi.org/10.1007/978-3-642-00602-9_24

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