On robust stability of fully probabilistic control with respect to data-driven model uncertainties

Author(s)
Uri
Date Issued
2019-06-28
Date Available
2021-08-20T15:41:19Z
Abstract
We investigate robust stability of the fully probabilistic control with respect to data-driven model uncertainties. This scheme attempts to control a system modeled via a probability density function (pdf) and does so by computing a probabilistic control policy that is optimal in the Kullback-Leibler sense. The results are illustrated via simulations.
Sponsorship
Science Foundation Ireland
Other Sponsorship
NSF
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2019 EUCA
Subjects

Robust stability

Fully probabilistic c...

Data-driven model unc...

Probability density f...

Probabilistic control...

Kullback-Leibler sens...

DOI
Web versions
Language
English
Status of Item
Peer reviewed
Conference Details
The 2019 18th European Control Conference (ECC), Naples, Italy, 25-28 June 2019
This item is made available under a Creative Commons License
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On robust stability of fully probabilistic control with respect to dataxxx.pdf

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Owning collection
I-Form Research Collection
Mapped collections
Electrical and Electronic Engineering Research Collection