Covers model predictive control for multi-region Macroscopic Fundamental Diagrams in traffic flow modeling and its application in handling non-linear control problems.
Explores the significance of modeling and predicting uncertain environments for ensuring safe and high-performance autonomy in modern autonomous systems.
Covers the fundamentals of optimal control theory, focusing on defining OCPs, existence of solutions, performance criteria, physical constraints, and the principle of optimality.
