Cam-phasing optimization using artificial neural networks as surrogate models—fuel consumption and nox emissions B Wu, RG Prucka, ZS Filipi, DM Kramer, GL Ohi SAE Transactions, 742-758, 2006 | 52 | 2006 |
Assessment of cooled low pressure EGR in a turbocharged direct injection gasoline engine K Siokos, R Koli, R Prucka, J Schwanke, J Miersch SAE International Journal of Engines 8 (4), 1535-1543, 2015 | 50 | 2015 |
A review of spark-assisted compression ignition (saci) research in the context of realizing production control strategies D Robertson, R Prucka SAE Technical Paper, 2019 | 42 | 2019 |
Cam-phasing optimization using artificial neural networks as surrogate models—maximizing torque output B Wu, RG Prucka, ZS Filipi, DM Kramer, GL Ohl SAE transactions, 1586-1599, 2005 | 42 | 2005 |
A phenomenological combustion analysis of a dual-fuel natural-gas diesel engine S Xu, D Anderson, M Hoffman, R Prucka, Z Filipi Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2017 | 38 | 2017 |
Development of a phenomenological dual-fuel natural gas diesel engine simulation and its use for analysis of transient operations S Xu, D Anderson, A Singh, M Hoffman, R Prucka, Z Filipi SAE International Journal of Engines 7 (4), 1665-1673, 2014 | 32 | 2014 |
Turbulence intensity calculation from cylinder pressure data in a high degree of freedom spark-ignition engine RG Prucka, TK Lee, Z Filipi, DN Assanis SAE Technical Paper, 2010 | 30 | 2010 |
Nonlinear economic model predictive control for SI engines based on sequential quadratic programming Q Zhu, S Onori, R Prucka 2016 American Control Conference (ACC), 1802-1807, 2016 | 28 | 2016 |
Coordinated electric supercharging and turbo-generation for a diesel engine P Divekar, B Ayalew, R Prucka SAE International, 2010-01, 2010 | 27 | 2010 |
A real-time model for spark ignition engine combustion phasing prediction S Wang, R Prucka, Q Zhu, M Prucka, H Dourra SAE International Journal of Engines 9 (2), 1180-1190, 2016 | 26 | 2016 |
Quantification of thermal shock in a piezoelectric pressure transducer S Lee, C Bae, R Prucka, G Fernandes, Z Filipi, DN Assanis SAE Technical Paper, 2005 | 26 | 2005 |
An economic nonlinear model predictive control strategy for Si engines: Model-based design and real-time experimental validation Q Zhu, S Onori, R Prucka IEEE Transactions on Control Systems Technology 27 (1), 296-310, 2017 | 24 | 2017 |
Real-time estimation of combustion variability for model-based control and optimal calibration of spark ignition engines TK Lee, RG Prucka, ZS Filipi Proceedings of the Institution of Mechanical Engineers, Part D: Journal of …, 2009 | 24 | 2009 |
A review of spark-ignition engine air charge estimation methods Z Wang, Q Zhu, R Prucka SAE Technical Paper, 2016 | 23 | 2016 |
Control-oriented residual gas mass prediction for spark ignition engines S Wang, R Prucka, M Prucka, H Dourra International Journal of Engine Research 16 (7), 897-907, 2015 | 21 | 2015 |
An evaluation of residual gas fraction measurement techniques in a high degree of freedom spark ignition engine RG Prucka, ZS Filipi, DN Assanis, DM Kramer, GL Ohl SAE International Journal of Engines 1 (1), 71-84, 2009 | 21 | 2009 |
Reconstructing cylinder pressure of a spark-ignition engine for heat transfer and heat release analyses P Zeng, RG Prucka, ZS Filipi, DN Assanis Internal Combustion Engine Division Fall Technical Conference 37467, 43-52, 2004 | 21 | 2004 |
Pattern recognition technique based active set QP strategy applied to MPC for a driving cycle test Q Zhu, S Onori, R Prucka 2015 American Control Conference (ACC), 4935-4940, 2015 | 19 | 2015 |
A semi-physical artificial neural network for feed forward ignition timing control of multi-fuel SI engines B Xiao, S Wang, RG Prucka SAE Technical Paper, 2013 | 17 | 2013 |
An Experimental Characterization of a High Degree of Freedom Spark-Ignition Engine to Achieve Optimized Ignition Timing Control. RG Prucka | 17 | 2008 |