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

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Title: On robust stability of fully probabilistic control with respect to data-driven model uncertainties
Authors: Pegueroles, Bernat GuillenRusso, Giovanni
Permanent link: http://hdl.handle.net/10197/12435
Date: 28-Jun-2019
Online since: 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.
Funding Details: Science Foundation Ireland
Funding Details: NSF
Type of material: Conference Publication
Publisher: IEEE
Copyright (published version): 2019 EUCA
Keywords: Robust stabilityFully probabilistic controlData-driven model uncertaintiesProbability density functionProbabilistic control policyKullback-Leibler sense
DOI: 10.23919/ECC.2019.8795901
Other versions: https://ecc19.eu/
Language: en
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: https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Appears in Collections:Electrical and Electronic Engineering Research Collection
I-Form Research Collection

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