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Gerald Eaglin
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Proceedings Papers

Leveraging Conventional Control to Improve Performance of Systems Using Reinforcement Learning

Gerald Eaglin, Joshua Vaughan
Proc. ASME. DSCC2020, Volume 2: Intelligent Transportation/Vehicles; Manufacturing; Mechatronics; Engine/After-Treatment Systems; Soft Actuators/Manipulators; Modeling/Validation; Motion/Vibration Control Applications; Multi-Agent/Networked Systems; Path Planning/Motion Control; Renewable/Smart Energy Systems; Security/Privacy of Cyber-Physical Systems; Sensors/Actuators; Tracking Control Systems; Unmanned Ground/Aerial Vehicles; Vehicle Dynamics, Estimation, Control; Vibration/Control Systems; Vibrations, V002T38A007, October 5–7, 2020
Paper No: DSCC2020-3307
DOI: https://doi.org/10.1115/DSCC2020-3307
View Paper titled, Leveraging Conventional Control to Improve Performance of Systems Using Reinforcement Learning
Click here to open pdf in another window PDF for Leveraging Conventional Control to Improve Performance of Systems Using Reinforcement Learning
Topics: Control equipment, Dynamics (Mechanics), Engineering simulation, Nonlinear systems, Optimal control, Reinforcement learning, Simulation, Trains
Proceedings Papers

Model Reference Control With Command Shaping for a Micro-Electromagnetic Actuator With Input Constraints

Gerald Eaglin, Joshua Vaughan
Proc. ASME. DSCC2019, Volume 3, Rapid Fire Interactive Presentations: Advances in Control Systems; Advances in Robotics and Mechatronics; Automotive and Transportation Systems; Motion Planning and Trajectory Tracking; Soft Mechatronic Actuators and Sensors; Unmanned Ground and Aerial Vehicles, V003T16A012, October 8–11, 2019
Paper No: DSCC2019-9162
DOI: https://doi.org/10.1115/DSCC2019-9162
View Paper titled, Model Reference Control With Command Shaping for a Micro-Electromagnetic Actuator With Input Constraints
Click here to open pdf in another window PDF for Model Reference Control With Command Shaping for a Micro-Electromagnetic Actuator With Input Constraints
Topics: Actuators, Control equipment, Electromagnetic actuators, Engineering simulation, Flexible systems, Simulation, Vibration
Proceedings Papers

Reducing Trajectory Tracking Error of Flexible Mobile Robots Using Command Shaping With Error-Limiting Constraints

Gerald Eaglin, Joshua Vaughan
Proc. ASME. DSCC2017, Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications, V002T07A006, October 11–13, 2017
Paper No: DSCC2017-5394
DOI: https://doi.org/10.1115/DSCC2017-5394
View Paper titled, Reducing Trajectory Tracking Error of Flexible Mobile Robots Using Command Shaping With Error-Limiting Constraints
Click here to open pdf in another window PDF for Reducing Trajectory Tracking Error of Flexible Mobile Robots Using Command Shaping With Error-Limiting Constraints
Topics: Errors, Mobile robots, Trajectories (Physics), Flexible systems, Vibration, Modeling, Splines, Transients (Dynamics)