On event based state estimation

J. Sijs, M. Lazar

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

57 Citations (Scopus)
260 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 languageEnglish
Title of host publicationHybrid Systems : Computation and Control
EditorsR. Majumdar, P. Tabuada
Place of PublicationBerlin
PublisherSpringer
Pages336-350
Number of pages15
ISBN (Print)978-3-642-00601-2
DOIs
Publication statusPublished - 2009
Event12th International Conference on Hybrid Systems: Computation and Control (HSCC 2009) - San Francisco, United States
Duration: 13 Apr 200915 Apr 2009
Conference number: 12

Publication series

NameLecture Notes in Computer Science
Volume5469
ISSN (Print)0302-9743

Conference

Conference12th International Conference on Hybrid Systems: Computation and Control (HSCC 2009)
Abbreviated titleHSCC 2009
CountryUnited States
CitySan Francisco
Period13/04/0915/04/09

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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 (pp. 336-350). (Lecture Notes in Computer Science; Vol. 5469). Berlin: Springer. https://doi.org/10.1007/978-3-642-00602-9_24