Neural network-based output feedback controller for lean operation of spark ignition engines. - Jonathan Blake Vance; Pingan He 002; Brian C. Kaul; Sarangapani Jagannathan; James A. Drallmeier (ACC, 2006)

Neural Network Control of Spark Ignition Engines with High EGR Levels. - Atmika Singh; Jonathan Blake Vance; Brian C. Kaul; Sarangapani Jagannathan; James A. Drallmeier (IJCNN, 2006)

Reinforcement Learning based Output-Feedback Control of Nonlinear Nonstrict Feedback Discrete-time Systems with Application to Engines. - Peter Shih; Jonathan Blake Vance; Sarangapani Jagannathan; Brian C. Kaul; James A. Drallmeier (ACC, 2007)

Near Optimal Output-Feedback Control of Nonlinear Discrete-time Systems in Nonstrict Feedback Form with Application to Engines. - Peter Shih; Brian C. Kaul; Sarangapani Jagannathan; James A. Drallmeier (IJCNN, 2007)

Neural Network Controller Development and Implementation for Spark Ignition Engines With High EGR Levels. - Jonathan Blake Vance; Atmika Singh; Brian C. Kaul; Sarangapani Jagannathan; James A. Drallmeier (IEEE Trans. Neural Networks, 2007)

Output Feedback Controller for Operation of Spark Ignition Engines at Lean Conditions Using Neural Networks. - Jonathan Blake Vance; Brian C. Kaul; Sarangapani Jagannathan; James A. Drallmeier (IEEE Trans. Control. Syst. Technol., 2008)

Reinforcement-Learning-Based Dual-Control Methodology for Complex Nonlinear Discrete-Time Systems With Application to Spark Engine EGR Operation. - Peter Shih; Brian C. Kaul; Sarangapani Jagannathan; James A. Drallmeier (IEEE Trans. Neural Networks, 2008)

Neuro emission controller for minimising cyclic dispersion in spark ignition engines with EGR levels. - Jonathan Blake Vance; Brian C. Kaul; Sarangapani Jagannathan; James A. Drallmeier (Int. J. Gen. Syst., 2009)

Reinforcement-Learning-Based Output-Feedback Control of Nonstrict Nonlinear Discrete-Time Systems With Application to Engine Emission Control. - Peter Shih; Brian C. Kaul; Sarangapani Jagannathan; James A. Drallmeier (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Low Size, Weight, and Power Neuromorphic Computing to Improve Combustion Engine Efficiency. - Catherine D. Schuman; Steven R. Young; J. Parker Mitchell; J. Travis Johnston; Derek C. Rose; Bryan P. Maldonado; Brian C. Kaul (IGSC (Workshops), 2020)

Real-Time Evolution and Deployment of Neuromorphic Computing at The Edge. - Catherine D. Schuman; Steven R. Young; Bryan P. Maldonado; Brian C. Kaul (IGSC (Workshops), 2021)

Next-Cycle Optimal Fuel Control for Cycle-to-Cycle Variability Reduction in EGR-Diluted Combustion. - Bryan P. Maldonado; Brian C. Kaul; Catherine D. Schuman; Steven R. Young; J. Parker Mitchell (IEEE Control. Syst. Lett., 2021)

Next-Cycle Optimal Dilute Combustion Control via Online Learning of Cycle-to-Cycle Variability Using Kernel Density Estimators. - Bryan P. Maldonado; Brian C. Kaul; Catherine D. Schuman; Steven R. Young; J. Parker Mitchell (IEEE Trans. Control. Syst. Technol., 2022)

Evolution at the Edge: Real-Time Evolution for Neuromorphic Engine Control. - Karan Patel; Ethan Maness; Tyler Nitzsche; Emma G. Brown; Brett Witherspoon; Aaron R. Young; Bryan P. Maldonado; Brian C. Kaul; James S. Plank; Catherine D. Schuman (NICE, 2025)