XSpace: Self-learning platform for implementation of digital control algorithms

Julio C. Tafur Sotelo, Celso De La Cruz Casano, Pablo Cardenas Caceres, Leslie Yessenia Cieza Huane, Ingrid M. Horna Vilcahuaman, Claudia R. Pauyac Estrada

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


In the electronic engineering undergraduate program, Peruvian universities offer different theoretical courses of Automatic Control that do not present enough practical approach to the algorithms that are studied during the progress of these courses; however, the approach to implementation is very important to achieve good performance in the industry and researching. In this work is presented XSpace, an innovative and friendly platform which consists of a robust hardware that allows the student to take it home; this way, the student is given the opportunity to implement digital control algorithms learned in the theoretical classes. The effectiveness of this platform is shown using a proposed methodology which evidences greater interest, efficiency and efficacy in students at the Automatic Control area. This project was implemented in the “Control Systems” course at Pontificia Universidad Catolica del Peru (PUCP) from 2020 to 2022. Results are presented through a student survey and a history of average grades during the academic periods the platform was employed.
Original languageSpanish
Title of host publicationIEEE Global Engineering Education Conference - EDUCON2023
StatePublished - 1 Jan 2023

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