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Exploring the potential benefits of high-efficiency dual-fuel combustion on a heavy-duty multi-cylinder engine for SuperTruck I

International journal of engine research, 2022-06, Vol.23 (6), p.1082-1099

2022

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Stability, Combustion, and Compatibility of High-Viscosity Heavy Fuel Oil Blends with a Fast Pyrolysis Bio-Oil

Energy & fuels, 2020-07, Vol.34 (7), p.8403-8413

2020

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Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators

IEEE transactions on control systems technology, 2022-11, Vol.30 (6), p.2433-2449

2022

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Evaluation of residual gas fraction estimation methods for cycle-to-cycle combustion variability analysis and modeling

International journal of engine research, 2022-02, Vol.23 (2), p.198-213

2022

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Computational exploration of bio-oil blend effects on large two-stroke marine engines

Fuel (Guildford), 2022-08, Vol.322 (C), p.123977, Article 123977

2022

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The evaluation of developing vehicle technologies on the fuel economy of long-haul trucks

Energy conversion and management, 2015-12, Vol.106, p.766-781

2015

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Characterization of temporal variations and feedback timescales of exhaust gas recirculation gas properties using high-speed diode laser absorption spectroscopy for next-cycle control of cyclic variability

International journal of engine research, 2019-10, Vol.20 (8-9), p.945-952

2019

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An assessment of thermodynamic merits for current and potential future engine operating strategies

International journal of engine research, 2017-02, Vol.18 (1-2), p.155-169

2017

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Output Feedback Controller for Operation of Spark Ignition Engines at Lean Conditions Using Neural Networks

IEEE transactions on control systems technology, 2008-03, Vol.16 (2), p.214-228

2008

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Invited Review: A review of deterministic effects in cyclic variability of internal combustion engines

International journal of engine research, 2015-04, Vol.16 (3), p.366-378

2015

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Stability, rheological and combustion properties of biodiesel blends with a very-low sulfur fuel oil (VLSFO)

Fuel (Guildford), 2022-05, Vol.316 (1), p.123365, Article 123365

2022

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Evaluation of residual gas fraction estimation methods for cycle-to-cycle combustion variability analysis and modeling

International journal of engine research, 2021-01

2021

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Characterization of temporal variations and feedback timescales of exhaust gas recirculation gas properties using high-speed diode laser absorption spectroscopy for next-cycle control of cyclic variability

International journal of engine research, 2018-08, Vol.20 (8-9)

2018

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Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion

IEEE control systems letters, 2021-12, Vol.5 (6), p.2204-2209

2021

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Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge

2021 12th International Green and Sustainable Computing Conference (IGSC), 2021, p.1-8

2021

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Exploring the potential benefits of high-efficiency dual-fuel combustion on a heavy-duty multi-cylinder engine for SuperTruck I

International journal of engine research, 2021-03, Vol.23 (6)

2021

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Exploring the potential benefits of high-efficiency dual-fuel combustion on a heavy-duty multi-cylinder engine for SuperTruck I

International journal of engine research, 2021-03, Vol.NA (NA)

2021

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Characterizing dilute combustion instabilities in a multi-cylinder spark-ignited engine using symbolic analysis

Philosophical transactions of the Royal Society of London. Series A: Mathematical, physical, and engineering sciences, 2015-02, Vol.373 (2034), p.20140088

2015

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The evaluation of developing vehicle technologies on the fuel economy of long-haul trucks

Energy conversion and management, 2015-12, Vol.106 (C)

2015

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Reinforcement-Learning-Based Output-Feedback Control of Nonstrict Nonlinear Discrete-Time Systems With Application to Engine Emission Control

IEEE transactions on systems, man and cybernetics. Part B, Cybernetics, 2009-10, Vol.39 (5), p.1162-1179

2009

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Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation

IEEE transactions on neural networks, 2008-08, Vol.19 (8), p.1369-1388

2008

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Neural Network Controller Development and Implementation for Spark Ignition Engines With High EGR Levels

IEEE transactions on neural networks, 2007-07, Vol.18 (4), p.1083-1100

2007

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Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency

2020 11th International Green and Sustainable Computing Workshops (IGSC), 2020, p.1-8

2020

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Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion

2021 American Control Conference (ACC), 2021, p.1830-1835

2021

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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

IEEE transactions on neural networks, 2007, Vol.18 (4), p.1083-1100

2007

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Exploring the potential benefits of high-efficiency dual-fuel combustion on a heavy-duty multi-cylinder engine for SuperTruck I

Stability, Combustion, and Compatibility of High-Viscosity Heavy Fuel Oil Blends with a Fast Pyrolysis Bio-Oil

Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators

Evaluation of residual gas fraction estimation methods for cycle-to-cycle combustion variability analysis and modeling

Computational exploration of bio-oil blend effects on large two-stroke marine engines

The evaluation of developing vehicle technologies on the fuel economy of long-haul trucks

Characterization of temporal variations and feedback timescales of exhaust gas recirculation gas properties using high-speed diode laser absorption spectroscopy for next-cycle control of cyclic variability

An assessment of thermodynamic merits for current and potential future engine operating strategies

Output Feedback Controller for Operation of Spark Ignition Engines at Lean Conditions Using Neural Networks

Invited Review: A review of deterministic effects in cyclic variability of internal combustion engines

Stability, rheological and combustion properties of biodiesel blends with a very-low sulfur fuel oil (VLSFO)

Evaluation of residual gas fraction estimation methods for cycle-to-cycle combustion variability analysis and modeling

Characterization of temporal variations and feedback timescales of exhaust gas recirculation gas properties using high-speed diode laser absorption spectroscopy for next-cycle control of cyclic variability

Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion

Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge

Exploring the potential benefits of high-efficiency dual-fuel combustion on a heavy-duty multi-cylinder engine for SuperTruck I

Exploring the potential benefits of high-efficiency dual-fuel combustion on a heavy-duty multi-cylinder engine for SuperTruck I

Characterizing dilute combustion instabilities in a multi-cylinder spark-ignited engine using symbolic analysis

The evaluation of developing vehicle technologies on the fuel economy of long-haul trucks

Reinforcement-Learning-Based Output-Feedback Control of Nonstrict Nonlinear Discrete-Time Systems With Application to Engine Emission Control

Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation

Neural Network Controller Development and Implementation for Spark Ignition Engines With High EGR Levels

Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency

Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion

Neural network controller development and implementation for spark ignition engines with high EGR levels: Special issue on neural networks for feedback control systems

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