Unsupervised learning and nonlinear identification for in-cylinder pressure prediction of diesel combustion rate shaping process-Reference-Cited by-同舟云学术

Unsupervised learning and nonlinear identification for in-cylinder pressure prediction of diesel combustion rate shaping process

Published:2019 Issue:29 Volume:52 Page:199-203
ISSN:2405-8963
Container-title:IFAC-PapersOnLine
language:en
Short-container-title:IFAC-PapersOnLine

Author:

Pan Wang,Korkmaz Metin,Beeckmann Joachim,Pitsch Heinz

Publisher

Elsevier BV

Subject

Control and Systems Engineering

Reference8 articles.

1. A real-time combustion control with reconstructed in-cylinder pressure by principal component analysis for a CRDI diesel engine;Chung;Journal of Engineering for Gas Turbines and Power,2017

2. Experimental realisation of predefined diesel combustion processes using advanced closed-loop combustion control and injection rate shaping;Hinkelbein;International Journal of Engine Research,2012

3. Diesel emission control in review;Johnson;SAE international journal of fuels and lubricants,2009

4. Feedforward control approach for digital combustion rate shaping realizing predefined combustion processes;Jörg;SAE International Journal of Engines,2015

5. M. Korkmaz, D. Golc, D. Ritter, B. Jochim, J. Beeckmann, D. Abel and H. Pitsch. (2018). Development of a Fully Flexible Injection Strategy for Model-Based Combustion Control of PCCI Diesel Engine. Symposium for Combustion Control, June 27th-28th, Aachen, Germany.

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