Event-based state estimation of linear dynamical systems: Communication rate analysis

Dawei Shi, Tongwen Chen, Ling Shi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

16 Citations (Scopus)

Abstract

This work presents results on communication rate analysis for event-based state estimation schemes. An event-based estimator in the form of the Kalman filter with intermittent observations is first introduced, based on which time-varying upper and lower bounds on the expectation of the communication rate are developed. For stable systems, time-invariant upper and lower bounds are given. For sensors whose measurement values are scalars, the exact expression for the expectation of the communication rate is obtained. Numerical examples are presented to illustrate the results. It is shown that the developed results are rich enough to be generalized to recover existing results obtained for event-based minimum mean squared error estimates and estimates under more general event-triggering schemes.

Original languageEnglish
Title of host publication2014 American Control Conference, ACC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4665-4670
Number of pages6
ISBN (Print)9781479932726
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 American Control Conference, ACC 2014 - Portland, OR, United States
Duration: 4 Jun 20146 Jun 2014

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2014 American Control Conference, ACC 2014
Country/TerritoryUnited States
CityPortland, OR
Period4/06/146/06/14

Keywords

  • Kalman filtering
  • Networked control systems
  • Wireless

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