A Julia package for solving quantum optimal control problems using direct trajectory optimization.
Use Iterative Learning Control (ILC) for trajectory tracking task with the existence of model mismatch. Model Predictive Control (MPC) is also used for comparison.
Trajectory optimization (indirect with iLQR, direct with SQP), model predictive control, and additional tools for quantum optimal control.
Master thesis project where we try to teach a humanoid robot how to juggle.
Add a description, image, and links to the iterative-learning-control topic page so that developers can more easily learn about it.
To associate your repository with the iterative-learning-control topic, visit your repo's landing page and select "manage topics."