Explores Real-Time Nonlinear Model Predictive Control for fast mechatronic systems and its applications in rocket control, autonomous parking, and racing.
Explores primal-dual optimization methods, focusing on Lagrangian approaches and various methods like penalty, augmented Lagrangian, and splitting techniques.
