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 Guillen; Russo, 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 stability; Fully probabilistic control; Data-driven model uncertainties; Probability density function; Probabilistic control policy; Kullback-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|
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