My name is Mernout Burger, born in Rotterdam (the Netherlands) on the 9th of November 1979. I started with the Bachelor study Electrical Engineering at the Delft University of Technology, followed by the Master study Systems & Control.
The subject of my Master Thesis is Traffic Flow Control using Intelligent Vehicles. Upstream propagating traffic jams, called shock waves, are dissolved by applying dynamic speed limits on the freeway. These dynamic speed limits are obtained by measuring the traffic state, given by the mean speed and density on freeway segments, and determining the optimal speed limit pattern using model predictive control. This is done for three scenarios: using 'normal' vehicles without speed limit enforcement, using 'normal' vehicles with speed limit enforcement, and using vehicles equipped with an intelligent speed adaptation (ISA) system. It turns out that shock waves were dissolved most efficiently when vehicles are equipped with ISA systems.
For my PhD research I went to the Norwegian University for Science and Technology (NTNU) in Trondheim. Here I worked as a Marie Curie Research Fellow on the FP6 Research Training Network FREEsubNET. The main topics of my PhD research are
* designing autopilot algorithms for marine vehicles
* adding robustness against ocean currents (flow fields) using conditional integrators
* developing a path manoeuvring controller that can act as a trajectory tracking controller or path following controller as well
This research is summarised in my PhD Thesis entitled Disturbance Rejection using Conditional Integrators.
Currently I am employed at the Delft University of Technology as a postdoctoral researcher (postdoc). The topic of this research is Model-Based Predictive Control for Intelligent Micro-Transportation Systems. The setting in this research is the scheduling of small autonomous water-taxis (micro-ferries) in the Rotterdam Harbour, where we focus on
* optimising for energy efficiency
* scheduling both transportation requests and charging of the micro-ferries
* including daily transportation patterns in the scheduling to improve efficiency
Feel free to browse through my webpage, and to contact me if you have any questions or comments.