From 1e1cc5acd86f6d950db6444919689cce333b94cc Mon Sep 17 00:00:00 2001 From: "Radu C. Martin" Date: Thu, 22 Jul 2021 22:10:08 +0200 Subject: [PATCH] Fixed missing reference --- Sections/10_Introduction.tex | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/Sections/10_Introduction.tex b/Sections/10_Introduction.tex index ad078db..0c368df 100644 --- a/Sections/10_Introduction.tex +++ b/Sections/10_Introduction.tex @@ -17,12 +17,14 @@ design of these control schemes, as the results could vary greatly from one implementation to another. Gaussian Processes have been previously used to model building dynamics, but -they are usually limited by a fixed computational budget. This limits the -approaches that can be taken for identification and update of said models. -Learning \acrshort{gp} models have also been previously used in the context of -autonomous racing cars \cite{kabzanLearningBasedModelPredictive2019}, but there -the Sparse \acrshort{gp} model was built on top of a white-box model and only -responsible for fitting the unmodeled dynamics. +they are usually limited by a fixed computational +budget~\cite{jainLearningControlUsing2018,nghiemDatadrivenDemandResponse2017}. +This limits the approaches that can be taken for identification and update of +said models. Learning \acrfull{gp} models have also been previously used in +the context of autonomous racing cars +\cite{kabzanLearningBasedModelPredictive2019}, but there the Sparse +\acrshort{gp} model was built on top of a white-box model and only responsible +for fitting the unmodeled dynamics. \subsection{Previous Research} With the increase in computational power and availability of data over time,