An Improved Stochastic Send-on-Delta Scheme for Event-Based State Estimation
Thelander Andrén, Marcus LU and Cervin, Anton LU
(2016)
Reglermöte 2016
- 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.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/c8f44cf7-b84a-456b-a539-13353729ae0b
- author
- Thelander Andrén, Marcus
LU
and Cervin, Anton
LU
- organization
- publishing date
- 2016-06-07
- type
- Contribution to conference
- publication status
- published
- subject
- keywords
- Event-based, state estimation, send-on-delta sampling, remote state estimator, stochastic triggering, Kalman filter
- pages
- 1 pages
- conference name
- Reglermöte 2016
- conference location
- Göteborg, Sweden
- conference dates
- 2016-06-08 - 2016-06-09
- project
- Event-Based Control of Stochastic Systems with Application to Server Systems
- language
- English
- LU publication?
- yes
- id
- c8f44cf7-b84a-456b-a539-13353729ae0b
- date added to LUP
- 2016-08-15 14:49:48
- date last changed
- 2020-12-12 02:16:51
@misc{c8f44cf7-b84a-456b-a539-13353729ae0b,
abstract = {{Event-based sensing and communication holds the promise of lower resource utilization and/or better performance for remote state estimation applications<br/>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.}},
author = {{Thelander Andrén, Marcus and Cervin, Anton}},
keywords = {{Event-based; state estimation; send-on-delta sampling; remote state estimator; stochastic triggering; Kalman filter}},
language = {{eng}},
month = {{06}},
title = {{An Improved Stochastic Send-on-Delta Scheme for Event-Based State Estimation}},
url = {{https://lup.lub.lu.se/search/files/10949392/poster.pdf}},
year = {{2016}},
}