Under Control: A Control Theory Introduction for Computer Scientists

This hands-on tutorial aims at introducing the basis of Control Theory, applied to the runtime management of computing systems, through a practical example. This tutorial is composed of two parts. In the first part, we present the motivation and classical tools of Control Theory: formulation, modeling, and controllers. During the second part, the participants will experiment with the concepts presented in the first part through interactive computational documents, via a Jupyter Notebook. Attendees will need a computer with an internet connection and a “recent” web browser, and only basic programming knowledge. The tutorial is available at the following URL: https://control-for-computing.gitlabpages.inria.fr/tutorial/

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Publication Details

Published
2024-09-16
DOI
https://doi.org/10.1109/acsos-c63493.2024.00044
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Under Control: A Control Theory Introduction for Computer Scientists

Raphaël Bleuse, Quentin Guilloteau, Bogdan Robu, Sophie Cerf et al.
Simulation Techniques and Applications
article

Under Control: A Control Theory Introduction for Computer Scientists

Raphaël Bleuse, Quentin Guilloteau, Bogdan Robu, Sophie Cerf, Éric Rutten
article en

Abstract

This hands-on tutorial aims at introducing the basis of Control Theory, applied to the runtime management of computing systems, through a practical example. This tutorial is composed of two parts. In the first part, we present the motivation and classical tools of Control Theory: formulation, modeling, and controllers. During the second part, the participants will experiment with the concepts presented in the first part through interactive computational documents, via a Jupyter Notebook. Attendees will need a computer with an internet connection and a “recent” web browser, and only basic programming knowledge. The tutorial is available at the following URL: https://control-for-computing.gitlabpages.inria.fr/tutorial/

Institut polytechnique de Grenoble (FR), Centre National de la Recherche Scientifique (FR), Institut national de recherche en sciences et technologies du numérique (FR), University of Basel (CH), Université de Lille (FR), Centre Inria de l'Université Grenoble Alpes (FR), Laboratoire d'Informatique de Grenoble (FR), Centre de Recherche en Informatique (FR), GIPSA-Lab (FR), Laboratoires Spiral (France) (FR), Instituts Universitaires de Technologie (FR), École Centrale de Lille (FR), Université Grenoble Alpes (FR)
Openalex Percentile: Top 98%
Simulation Techniques and Applications
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