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.
Path-parameter iterative learning control on a flexible-joint KUKA iiwa14 in MuJoCo, with a learned layer for unseen paths and thermal drift
MIMO system identification, ICS/RICS iterative control, and confidence-weighted online model adaptation in synthetic MIMO systems.
To associate your repository with the iterative-learning-control topic, visit your repo's landing page and select "manage topics."