Covers model predictive control for multi-region Macroscopic Fundamental Diagrams in traffic flow modeling and its application in handling non-linear control problems.
Covers the fundamentals of optimal control theory, focusing on defining OCPs, existence of solutions, performance criteria, physical constraints, and the principle of optimality.
Introduces Data-Enabled Predictive Control (DEEPC) as a method to design controllers directly from measured input/output data, reducing the cost of design and commissioning.
