@inproceedings{52b6980e6f884d0f97c167b17c45557b,
title = "Design of an optimal control to reduce CO2 emissions in an engine",
abstract = "The CO2 emissions from cars is an increasingly worrying issue and this is why industries are looking for a solution in order to minimize the emissions and reduce the negative environmental impacts. Toyota developed a model in Simulink of an L4 engine, in order to simulate a control solution capable of minimizing the CO2 emissions. In this article, a linear quadratic integral (LQI) control is designed based on the identification of the model that was given by Toyota. In the identification validation, a 73% of similitude is obtained. Moreover, the proposed LQI is able to reduce the fuel consumption in 9.9% of the original data.",
keywords = "L4 Engine, Linear quadratic integral control, Optimization, identification",
author = "Cesar Diaz and Andres Nieto and Fredy Ruiz and Diego Patino",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 3rd IEEE Colombian Conference on Automatic Control, CCAC 2017 ; Conference date: 18-10-2017 Through 20-10-2017",
year = "2017",
month = jul,
day = "2",
doi = "10.1109/CCAC.2017.8276459",
language = "English",
series = "2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--4",
editor = "Diego Patino and Eugenio Yime",
booktitle = "2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings",
address = "United States",
}