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research article

Resource-Aware Stochastic Self-Triggered Model Predictive Control

Lian, Yingzhao  
•
Jiang, Yuning  
•
Stricker, Naomi
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June 24, 2021
IEEE Control Systems Letters

This letter considers the control of uncertain systems operated under limited resource factors, such as battery life or hardware longevity. We consider here resource-aware self-triggered control techniques that schedule system operation non-uniformly in time in order to balance performance against resource consumption. When running in an uncertain environment, unknown disturbances may deteriorate system performance by acting adversarially against the planned event triggering schedule. In this work, we propose a resource-aware stochastic predictive control scheme to tackle this challenge, where a novel zero-order hold feedback control scheme is proposed to accommodate a time-inhomogeneous predictive control update.

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Type
research article
DOI
10.1109/LCSYS.2021.3091967
Author(s)
Lian, Yingzhao  
Jiang, Yuning  
Stricker, Naomi
Thiele, Lothar
Jones, Colin  
Date Issued

2021-06-24

Published in
IEEE Control Systems Letters
Volume

6

Start page

1262

End page

1267

Subjects

Stochastic optimal control

•

self-triggered model predictive control

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA3  
Available on Infoscience
July 14, 2021
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/179904
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