End-to-End Deep Neural Network Based Nonlinear Model Predictive Control: Experimental Implementation on Diesel Engine Emission Control

In this paper, a deep neural network (DNN)-based nonlinear model predictive controller (NMPC) is demonstrated using real-time experimental implementation. First, the emissions and performance of a 4.5-liter 4-cylinder Cummins diesel engine are modeled using a DNN model with seven hidden layers and 2...

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Bibliographic Details

Published in:	Energies
Main Authors:	David C. Gordon, Armin Norouzi, Alexander Winkler, Jakub McNally, Eugen Nuss, Dirk Abel, Mahdi Shahbakhti, Jakob Andert, Charles R. Koch
Format:	Article
Language:	English
Published:	MDPI AG 2022-12-01
Subjects:	deep learning deep neural network emission reduction machine learning long-short-term memory model predictive control
Online Access:	https://www.mdpi.com/1996-1073/15/24/9335