Author:
Arsie Ivan,Cricchio Andrea,De Cesare Matteo,Pianese Cesare,Sorrentino Marco
Subject
Control and Systems Engineering
Reference17 articles.
1. Arsie, I., Cricchio, A., De Cesare, M., Pianese, C., Sorrentino, M. (2013a). A Methodology to Enhance Design and On-Board Application of Neural Network Models for Virtual Sensing of NOx Emissions in Automotive Diesel Engines. SAE Technical Paper 2013-24-0138.
2. Neural network models for virtual sensing of NOx emissions in automotive diesel engines with least square-based adaptation;Arsie;Control Engineering Practice,2017
3. Real-Time Estimation of Intake O2 Concentration in Turbocharged Common-Rail Diesel Engines;Arsie;SAE Int. J. of Engines,2013
4. Development of Recurrent Neural Networks for Virtual Sensing of NOx Emissions in Internal Combustion Engines;Arsie;SAE Int. J. of Fuels and Lubricants,2010
5. Virtual NO Sensor for Spark-Ignition Engines”;Brand;Int. J. of Engine Research,2007
Cited by
7 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献