@inproceedings{915ded56bb204ffa8b3807311d47f81c,
title = "Real-time and robust estimation of biodiesel blends using nox sensor",
abstract = "Biodiesel as a renewable alternative fuel produces lower exhaust emissions with the exception of nitrogen oxides (NOx) when compared to the conventional diesel fuel. Reducing nitrogen oxides produced from engines running on biodiesel is a challenging task to be able to meet the emission requirements. Knowledge of fuel blend could be very helpful for control and adaptation purposes to tune the engine control system parameters leading to lower NOx emission and improved engine performance. Proposed in this paper is a NOx sensor-based biodiesel blend estimation strategy. This strategy is fitted in a robust adaptive estimation structure for achieving a robust estimation. Sensitivity analysis has been done to check the robustness of the estimators against measurement errors.",
author = "S. Mirheidari and Franchek, {M. A.} and Grigoriadis, {K. M.} and J. Mohammadpour and Wang, {Y. Y.} and I. Haskara",
note = "Copyright: Copyright 2013 Elsevier B.V., All rights reserved.; ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011 ; Conference date: 31-10-2011 Through 02-11-2011",
year = "2011",
doi = "10.1115/DSCC2011-6073",
language = "English (US)",
isbn = "9780791854754",
series = "ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011",
pages = "891--898",
booktitle = "ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011",
}