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‎back_matter/back_matter.tex‎

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\begin{document}
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\part{Appendices}
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\chapter{Estimation Methods}
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\section{Ordinary Least Squares}
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\section{Recursive Least Squares}
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\section{Expectation Maximization}
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\section{\todo{Recursive Expectation Maximization}}
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\chapter{Material}
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Here follows a brief description of the material used in this thesis
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\section{Hardware}
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A portable personal computer
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\begin{description}
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\item [Processor] Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz
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\item [Memory] 15GiB System memory
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\end{description}
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\section{OS}
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A GNU/Linux system based on architecture x86\_64 with
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\begin{description}
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\item[Linux kernel] version 5.4.0-73-generic
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\item[Ubuntu distribution] version \#82~18.04.1-Ubuntu SMP Fri Apr 16 15:10:02 UTC 2021
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\end{description}
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\section{Programming}
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The programs used in this thesis were developed in MATLAB language.
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They were executed on
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\begin{description}
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\item[MATLAB] version R2019b Update 3 (9.7.0.1261785) 64-bit (glnxa64).
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\end{description}
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All code and resulting data is available in \todo{add github link}.
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The graphs based on the saved data were generated using python scripts, also available.
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The scripts were then executed using
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\begin{description}
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\item[python] version 3.6.9
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\end{description}
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with packages:
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\begin{description}
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\item[matplotlib] version 3.2.2
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\item[numpy] version 1.19.0
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\item[scipy] version 1.3.2
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\end{description}
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\section{Writing}
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This thesis was written using GNU Emacs, typeset using \gls{latex}.
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Diagrams were drawn using \gls{TikZ}.
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Hand drawings were drawn using Xournal++ and Inkscape.
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% \chapter{Estimation Methods}
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% \section{Ordinary Least Squares}
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% \section{Recursive Least Squares}
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% \section{Expectation Maximization}
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% \section{\todo{Recursive Expectation Maximization}}
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% \chapter{Material}
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% Here follows a brief description of the material used in this thesis
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% \section{Hardware}
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% A portable personal computer
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% \begin{description}
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% \item [Processor] Intel(R) Core(TM) i7-8750H CPU @ 2.20GHz
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% \item [Memory] 15GiB System memory
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% \end{description}
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% \section{OS}
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% A GNU/Linux system based on architecture x86\_64 with
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% \begin{description}
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% \item[Linux kernel] version 5.4.0-73-generic
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% \item[Ubuntu distribution] version \#82~18.04.1-Ubuntu SMP Fri Apr 16 15:10:02 UTC 2021
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% \end{description}
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% \section{Programming}
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% The programs used in this thesis were developed in MATLAB language.
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% They were executed on
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% \begin{description}
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% \item[MATLAB] version R2019b Update 3 (9.7.0.1261785) 64-bit (glnxa64).
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% \end{description}
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% All code and resulting data is available in \todo{add github link}.
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% The graphs based on the saved data were generated using python scripts, also available.
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% The scripts were then executed using
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% \begin{description}
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% \item[python] version 3.6.9
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% \end{description}
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% with packages:
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% \begin{description}
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% \item[matplotlib] version 3.2.2
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% \item[numpy] version 1.19.0
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% \item[scipy] version 1.3.2
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% \end{description}
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% \section{Writing}
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% This thesis was written using GNU Emacs, typeset using \gls{latex}.
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% Diagrams were drawn using \gls{TikZ}.
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% Hand drawings were drawn using Xournal++ and Inkscape.
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\chapter{Résumé étendu en français}
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‎main_matter/main_matter.tex‎

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\subfile{anomalous_behaviors}
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\part{Towards a safe DMPC algorithm}\label{part:safe_dmpc}
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% \part{Towards a safe DMPC algorithm}\label{part:safe_dmpc}
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% \subfile{brief_recap}
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% \subfile{primal_decomposition}
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% \subfile{safe_dmpc_eq}
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% \subfile{safe_dmpc_ineq}
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% \subfile{conclusion}
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