SC Solutions Supports ASME Robotics Roadmapping Workshop
SC Solutions staff are providing their insight and experience relating to the space industry to the ASME Robotics Technology Group (RTG). The RTG is conducting a Robotics Roadmapping Session on Sunday, August 14, 2022 in conjunction with IDETC-CIE. The workshop...Physics-informed Machine Learning for Control – DNN in a Dynamic Feedback Loop
This Case Study describes an approach to combining physical principles with Machine Learning (ML) for modeling and control of complex systems. Our approach was developed as part of a DARPA-funded research project. It was applied to oil reservoir management. While this Case Study provides an overview, technical details may be found in a separate publication [1].