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Explores Real-Time Nonlinear Model Predictive Control for fast mechatronic systems and its applications in rocket control, autonomous parking, and racing.
Covers model predictive control for multi-region Macroscopic Fundamental Diagrams in traffic flow modeling and its application in handling non-linear control problems.
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.
