On event based state estimation

J. Sijs, M. Lazar

Research output: Chapter in Book/Report/Conference proceedingChapterAcademic

58 Citations (Scopus)
300 Downloads (Pure)


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
Number of pages15
ISBN (Print)978-3-642-00601-2
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
ISSN (Print)0302-9743


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

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