An Improved Stochastic Send-on-Delta Scheme for Event-Based State Estimation

Research output: Contribution to conferencePoster

Abstract

Event-based sensing and communication holds the promise of lower resource utilization and/or better performance for remote state estimation applications
in e.g networked control systems (NCS). However, the problem of designing an optimal event-based state estimator often becomes untractable due to nonlinear measurements. This complexity is avoided with stochastic event-triggering. In this work, we extend the previous work on stochastic triggering by proposing a simple predictor in the sensor to further improve the estimation performance.

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Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Control Engineering

Keywords

  • Event-based, state estimation, send-on-delta sampling, remote state estimator, stochastic triggering, Kalman filter
Original languageEnglish
Number of pages1
Publication statusPublished - 2016 Jun 7
Publication categoryResearch
Peer-reviewedNo
EventReglermöte 2016 - Göteborg, Sweden
Duration: 2016 Jun 82016 Jun 9

Conference

ConferenceReglermöte 2016
CountrySweden
CityGöteborg
Period2016/06/082016/06/09

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Related research output

Marcus Thelander Andrén & Anton Cervin, 2016 Jun 13, 2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). Institute of Electrical and Electronics Engineers Inc., 8 p.

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding

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