David C. Gordon

According to our database, David C. Gordon authored at least 10 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Hybrid Reinforcement Learning and Model Predictive Control for Adaptive Control of Hydrogen-Diesel Dual-Fuel Combustion.

Julian Bedei, Murray McBain, Charles Robert Koch, Jakob Andert, David C. Gordon

CoRR, April, 2025

Incorporating a Deep Neural Network into Moving Horizon Estimation for Embedded Thermal Torque Derating of an Electric Machine.

Alexander Winkler, Pranav Shah, Katrin Baumgärtner, Vasu Sharma, David C. Gordon, Jakob Andert

CoRR, April, 2025

Safe Reinforcement Learning-based Control for Hydrogen Diesel Dual-Fuel Engines.

Vasu Sharma, Alexander Winkler, Armin Norouzi, Jakob Andert, David C. Gordon, Hongsheng Guo

CoRR, February, 2025

2024

Fuel-Efficient Control System Design for Cooperative Truck Platooning at Large Separation Distances.

Luo Jiang, David C. Gordon, Mahdi Shahbakhti

Proceedings of the 27th IEEE International Conference on Intelligent Transportation Systems, 2024

Introducing a Deep Neural Network-Based Model Predictive Control Framework for Rapid Controller Implementation.

David C. Gordon, Alexander Winkler, Julian Bedei, Patrick Schaber, Stefan Pischinger, Jakob Andert, Charles Robert Koch

Proceedings of the American Control Conference, 2024

2023

Safe deep reinforcement learning in diesel engine emission control.

Armin Norouzi, Saeid Shahpouri, David C. Gordon, Mahdi Shahbakhti, Charles Robert Koch

J. Syst. Control. Eng., September, 2023

Introducing a Deep Neural Network-based Model Predictive Control Framework for Rapid Controller Implementation.

David C. Gordon, Alexander Winkler, Julian Bedei, Patrick Schaber, Jakob Andert, Charles Robert Koch

CoRR, 2023

2022

Machine Learning Integrated with Model Predictive Control for Imitative Optimal Control of Compression Ignition Engines.

Armin Norouzi, Saeid Shahpouri, David C. Gordon, Alexander Winkler, Eugen Nuss, Dirk Abel, Mahdi Shahbakhti, Charles Robert Koch

CoRR, 2022

Integration of Deep Learning and Nonlinear Model Predictive Control for Emission Reduction of Compression Ignition Combustion Engines: A Simulation Study.

Armin Norouzi, Saeid Shahpouri, David C. Gordon, Alexander Winkler, Eugen Nuss, Dirk Abel, Jakob Andert, Mahdi Shahbakhti, Charles Robert Koch

CoRR, 2022

2020

Machine Learning-based Diesel Engine-Out NOx Reduction Using a plug-in PD-type Iterative Learning Control.

Armin Norouzi, David C. Gordon, Masoud Aliramezani, Charles Robert Koch

Proceedings of the 2020 IEEE Conference on Control Technology and Applications, 2020