Search Results - "KAUL, Brian C"

Stability, Combustion, and Compatibility of High-Viscosity Heavy Fuel Oil Blends with a Fast Pyrolysis Bio-Oil by Kass, Michael D, Armstrong, Beth L, Kaul, Brian C, Connatser, Raynella Maggie, Lewis, Samuel, Keiser, James R, Jun, Jiheon, Warrington, Gavin, Sulejmanovic, Dino

“…Properties related to the combustion, stability, and compatibility of blends composed of high-viscosity heavy fuel oil (HFO) and highly acidic pyrolysis…”
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Computational exploration of bio-oil blend effects on large two-stroke marine engines by D.F. Chuahy, Flavio, Finney, Charles E.A., Kaul, Brian C., Kass, Michael D.

“…Maritime shipping is an essential and growing component of international trade, with over 90% of all the world’s goods being transported on large ocean-going…”
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Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators by Maldonado, Bryan P., Kaul, Brian C., Schuman, Catherine D., Young, Steven R., Mitchell, J. Parker

“…Dilute combustion using exhaust gas recirculation (EGR) presents a cost-effective method for increasing the efficiency of spark-ignition (SI) engines. However,…”
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Engine Diagnostics Using Acoustic Emissions Sensors by Kaul, Brian C., Lawler, Benjamin, Zahdeh, Akram

“…Engine acoustics measured by microphones near the engine have been used in controlled laboratory settings for combustion feedback and even combustion phasing…”
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The evaluation of developing vehicle technologies on the fuel economy of long-haul trucks by Gao, Zhiming, Smith, David E., Stuart Daw, C., Dean Edwards, K., Kaul, Brian C., Domingo, Norberto, Parks, James E., Jones, Perry T.

“…•The purposed 21CTP truck technologies can increase long-haul truck fuel economy by >60%.•Continuously improving engine efficiency is important, but can impact…”
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Determination of SI Combustion Sensitivity to Fuel Perturbations as a Cyclic Control Input for Highly Dilute Operation by Jatana, Gurneesh S., Kaul, Brian C.

“…Use of dilution with exhaust gas recirculation (EGR) offers substantial efficiency gains in spark ignition (SI) engines, especially when boosting and…”
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Effects of External EGR Loop on Cycle-to-Cycle Dynamics of Dilute SI Combustion by Kaul, Brian C., Finney, Charles E.A., Wagner, Robert M., Edwards, Michelle L.

“…Operation of spark-ignition (SI) engines with high levels of charge dilution through exhaust gas recirculation (EGR) achieves significant efficiency gains…”
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Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation by Shih, P., Kaul, B.C., Jagannathan, S., Drallmeier, J.A.

“…A novel reinforcement-learning-based dual-control methodology adaptive neural network (NN) controller is developed to deliver a desired tracking performance…”
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Reinforcement-Learning-Based Output-Feedback Control of Nonstrict Nonlinear Discrete-Time Systems With Application to Engine Emission Control by Shih, P., Kaul, B.C., Jagannathan, S., Drallmeier, J.A.

“…A novel reinforcement-learning-based output adaptive neural network (NN) controller, which is also referred to as the adaptive-critic NN controller, is…”
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Neural Network Controller Development and Implementation for Spark Ignition Engines With High EGR Levels by Vance, J.B., Singh, A., Kaul, B.C., Jagannathan, S., Drallmeier, J.A.

“…Past research has shown substantial reductions in the oxides of nitrogen (NO x ) concentrations by using 10% -25% exhaust gas recirculation (EGR) in spark…”
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Output Feedback Controller for Operation of Spark Ignition Engines at Lean Conditions Using Neural Networks by Vance, J.B., Kaul, B.C., Jagannathan, S., Drallmeier, J.A.

“…Spark ignition (SI) engines operating at very lean conditions demonstrate significant nonlinear behavior by exhibiting cycle-to-cycle bifurcation of heat…”
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Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge by Schuman, Catherine D., Young, Steven R., Maldonado, Bryan P., Kaul, Brian C.

“…Extremely low power neuromorphic systems are well-suited for deployment to the edge for many applications. In many use cases of neuromorphic computing for…”
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Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency by Schuman, Catherine D., Young, Steven R., Mitchell, J. Parker, Johnston, J. Travis, Rose, Derek, Maldonado, Bryan P., Kaul, Brian C.

“…Neuromorphic computing offers one path forward for AI at the edge. However, accessing and effectively utilizing a neuromorphic hardware platform is…”
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Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion by Maldonado, Bryan P., Kaul, Brian C., Schuman, Catherine D., Young, Steven R., Mitchell, J. Parker

“…Dilute combustion using exhaust gas recirculation (EGR) is a cost-effective method for increasing engine efficiency. At high EGR levels, however, its…”
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Stability, rheological and combustion properties of biodiesel blends with a very-low sulfur fuel oil (VLSFO) by Kass, Michael, Kaul, Brian, Armstrong, Beth, Szybist, Jim, Lobodin, Vladislav

“…•Biodiesel additions up to 20 wt% showed excellent blend stability with a VLSFO.•Biodiesel additions up to 20 wt% improved the lubricity, viscosity and pour…”
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Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion by Maldonado, Bryan P., Kaul, Brian C., Schuman, Catherine D., Young, Steven R., Mitchell, J. Parker

“…Dilute combustion using exhaust gas recirculation (EGR) is a cost-effective method for increasing engine efficiency. At high EGR levels, however, its…”
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Analysis of Cyclic Variability of Heat Release for High-EGR GDI Engine Operation with Observations on Implications for Effective Control by Kaul, Brian, Wagner, Robert, Green, Johney

“…Operation of spark-ignition (SI) engines with high levels of charge dilution through exhaust gas recirculation (EGR) achieves significant engine efficiency…”
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The evaluation of developing vehicle technologies on the fuel economy of long-haul trucks by Gao, Zhiming, Smith, David E., Stuart Daw, C., Dean Edwards, K., Kaul, Brian C., Domingo, Norberto, Parks, II, James E., Jones, Perry T.

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Characterizing dilute combustion instabilities in a multi-cylinder spark-ignited engine using symbolic analysis by Daw, C. S., Finney, C. E. A., Kaul, B. C., Edwards, K. D., Wagner, R. M.

“…Spark-ignited internal combustion engines have evolved considerably in recent years in response to increasingly stringent regulations for emissions and fuel…”
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Neural network controller development and implementation for spark ignition engines with high EGR levels: Special issue on neural networks for feedback control systems by VANCE, Jonathan Blake, SINGH, Atmika, KAUL, Brian C, JAGANNATHAN, Sarangapani, DRALLMEIER, James A

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