Improvement on the linear and nonlinear auto-regressive model for predicting the NOx emission of diesel engine-Reference-Cited by-同舟云学术

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Improvement on the linear and nonlinear auto-regressive model for predicting the NOx emission of diesel engine

Published:2016-09 Issue: Volume:207 Page:150-164
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Ma Jiaxin,Xu Feiyun,Huang Kai,Huang Ren

Funder

National Natural Science Foundation of China

“the Fundamental Research Funds for the Central Universities, SEU”

Jiangsu Province for the College Graduate Research and Innovation Projects

Scientific Research Foundation of Graduate School of Southeast University

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference46 articles.

1. Q. Song, G. Zhu, Model-based closed-loop control of urea SCR exhaust aftertreatment system for diesel engine, SAE paper 2002-01-0287.

2. Promoting hydrocarbon-SCR of NOx in diesel engine exhaust by hydrogen and fuel reforming;Sitshebo;Int. J. Hydrog. Energy,2009

3. Neural networks for real-time nonlinear control of a variable geometry turbocharged diesel engine;Omran;Int. J. Robust Nonlinear Control,2008

4. Influence of real-world engine load conditions on nanoparticle emissions from a DPF and SCR equipped heavy-duty diesel engine;Thiruvengadam;Environ. Sci. Technol.,2012

5. S. Sasaki, J. Sarlashkar, G.D. Neely, J.M. Wang, Q.L. Lu, H. Sono, Investigation of alternative combustion, airflow dominant control and aftertreatment systems for clean diesel vehicles. SAE Paper 2007-01-1937.

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