Nonlinear control of electronic converters: Fast and optimal control using sampling-driven nonlinear MPC

This thesis considers the design of the sampling-driven nonlinear model predictive controller (SD-NMPC) for power electronic converters. Most MPC schemes that are used nowadays lack in the application for systems with high sampling frequencies because of their high computational time, especially when the system is nonlinear. This is, for example...

Comfort oriented nonlinear model predictive control: For autonomous vehicles

To promote automation in vehicles, autonomous driving should feel comfortable. To achieve low discomfort, a comfort oriented nonlinear model predictive controller is created. We know humans are sensitive for discomfort in certain frequencies in acceleration. By penalizing the frequencies for discomfort a higher comfort performance can be...

Predictive Temperature and Humidity Control in Integrated Building Energy Management Systems

Worldwide roughly 80% of heating and cooling systems in the building sector are currently dominated by fossil-fuel technologies. These systems, known as Heating, Ventilation and Air Conditioning (HVAC) systems have contributed to global climate change and global warming. These effects are the consequence of the increasing demand of HVAC systems...