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

Marcus Thelander Andrén; Anton Cervin

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

Marcus Thelander Andrén, Anton Cervin

Forskningsoutput: Konferensbidrag › Poster

162 Nedladdningar (Pure)

Sammanfattning

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.

Originalspråk	engelska
Antal sidor	1
Status	Published - 2016 juni 7
Evenemang	Reglermöte 2016 - Göteborg, Sverige Varaktighet: 2016 juni 8 → 2016 juni 9

Konferens

Konferens	Reglermöte 2016
Land/Territorium	Sverige
Ort	Göteborg
Period	2016/06/08 → 2016/06/09

Ämnesklassifikation (UKÄ)

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An Improved Stochastic Send-on-Delta Scheme for Event-Based State EstimationPublicerad version, 153 KB

1 Konferenspaper i proceeding

Event-Based State Estimation Using an Improved Stochastic Send-on-Delta Sampling Scheme
Thelander Andrén, M. & Cervin, A., 2016 juni 13, 2016 Second International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP). IEEE - Institute of Electrical and Electronics Engineers Inc., 8 s.
Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

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239 Nedladdningar (Pure)

1 Avslutade

Händelsebaserad reglering av stokastiska system med tillämpning mot serversystem
Cervin, A. (PI), Thelander Andrén, M. (Forskarstuderande), Bernhardsson, B. (Biträdande handledare), Soltesz, K. (Biträdande handledare), Heimerson, A. (Forskarstuderande) & Ruuskanen, J. (Forskarstuderande)
Swedish Research Council
2018/01/01 → 2022/12/31
Projekt: Forskning

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title = "An Improved Stochastic Send-on-Delta Scheme for Event-Based State Estimation",

abstract = "Event-based sensing and communication holds the promise of lower resource utilization and/or better performance for remote state estimation applicationsin 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.",

keywords = "Event-based, state estimation, send-on-delta sampling, remote state estimator, stochastic triggering, Kalman filter",

author = "{Thelander Andr{\'e}n}, Marcus and Anton Cervin",

year = "2016",

month = jun,

day = "7",

language = "English",

note = "Reglerm{\"o}te 2016 ; Conference date: 08-06-2016 Through 09-06-2016",

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T1 - An Improved Stochastic Send-on-Delta Scheme for Event-Based State Estimation

AU - Thelander Andrén, Marcus

AU - Cervin, Anton

PY - 2016/6/7

Y1 - 2016/6/7

N2 - Event-based sensing and communication holds the promise of lower resource utilization and/or better performance for remote state estimation applicationsin 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.

AB - Event-based sensing and communication holds the promise of lower resource utilization and/or better performance for remote state estimation applicationsin 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.

KW - Event-based

KW - state estimation

KW - send-on-delta sampling

KW - remote state estimator

KW - stochastic triggering

KW - Kalman filter

M3 - Poster

T2 - Reglermöte 2016

Y2 - 8 June 2016 through 9 June 2016

ER -

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

Sammanfattning

Konferens

Ämnesklassifikation (UKÄ)

Tillgång till dokument

Fingeravtryck

Forskningsoutput

Event-Based State Estimation Using an Improved Stochastic Send-on-Delta Sampling Scheme

Projekt

Händelsebaserad reglering av stokastiska system med tillämpning mot serversystem

Citera det här