MSc Thesis Proposals

If you are interested in doing your MSc thesis work here with us at DCSC, this page provides you with a list of possible MSc thesis proposals. When you click on a subject (a link), you will get to see all the details on that specific MSc thesis proposal. You can use the form to show a selection of the proposals.

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Subject:	Staff Mentor:	Keywords:
Dynamical models for the quantitative understanding of the Drosophila melanogaster development	A. Abate	Modeling and analysis, Discrete-event and hybrid systems
Game-Theoretical and Optimal Control Methods in Systems Biology	A. Abate	Multi-agent systems, Modeling and analysis, Optimization and algorithms for control, Discrete-event and hybrid systems
Identification of enzyme kinetics from dynamic data in large-scale metabolic networks	A. Abate	Modeling and analysis, Discrete-event and hybrid systems
Non-linear control tools for the analysis of the feasible enzyme space to understand the regulation of metabolism	A. Abate	Modeling and analysis
Switched Linear Quadratic Regulator in discrete-time: theory and algorithms	A. Abate	Discrete-event and hybrid systems
Adaptive fuzzy control for TS systems	prof. R. Babuška	Adaptive and learning control, Fuzzy and AI-based control
Advance modeling of the excavation process for control of Hopper Dredgers	prof. R. Babuška	Modeling and analysis, Nonlinear and LPV systems, Industrial processes
Artificial Intelligence for the Hopper Dredger	prof. R. Babuška	Nonlinear and LPV systems, Modeling and analysis, System identification and estimation, Fuzzy and AI-based control
Control Design for a Soil Impacter	prof. R. Babuška	Mechatronics, robotics and micro-systems, Industrial processes
Hybrid System Approach to the Dynamic Estimation of the Soil-Dependent Parameters in the Hopper Sedimentation Process	prof. R. Babuška	Discrete-event and hybrid systems, System identification and estimation, Modeling and analysis, Industrial processes
Large perturbation recovery for bipedal robots	prof. R. Babuška	Adaptive and learning control, Mechatronics, robotics and micro-systems
Marker Robot Control	prof. R. Babuška	Industrial processes, Mechatronics, robotics and micro-systems
Optimistic planning and learning for control	prof. R. Babuška	Adaptive and learning control, Optimal and model predictive control
Visual odometry for a legged robot	prof. R. Babuška	Mechatronics, robotics and micro-systems, Statistical signal processing
Identification and Control of Batch crystallization process	X.J.A. Bombois	System identification and estimation, Industrial processes
Network identification	X.J.A. Bombois	System identification and estimation, Fundamentals, Distributed control
Network Identification with an application to the identification of metabolic pathways	X.J.A. Bombois	System identification and estimation
Towards data-driven autonomous control systems in the process industry	X.J.A. Bombois	System identification and estimation, Industrial processes, Fundamentals, Optimal and model predictive control
Collision avoidance for formations using limit cycles	prof. B. De Schutter	Multi-agent systems, Optimization and algorithms for control, Discrete-event and hybrid systems, Nonlinear and LPV systems
Distributed model predictive control for flood prevention in water networks	prof. B. De Schutter	Distributed and large-scale systems, Multi-agent systems, Distributed control, Optimal and model predictive control
Distributed predictive control of future traffic systems	prof. B. De Schutter	Optimization and algorithms for control, Optimal and model predictive control, Distributed control, Automotive and intelligent transportation systems
Distributed predictive control of water networks	prof. B. De Schutter	Distributed and large-scale systems, Optimization and algorithms for control, Optimal and model predictive control, Distributed control
Eco driving	prof. B. De Schutter	Model-based control, Optimization and algorithms for control, Transportation and infrastructure
Game theory for the control of large-scale systems	prof. B. De Schutter	Distributed and large-scale systems, Optimization and algorithms for control
Model predictive control of discrete event systems	B. De Schutter	Discrete-event and hybrid systems, Optimal and model predictive control
Model predictive control of hybrid systems	B. De Schutter	Discrete-event and hybrid systems, Optimal and model predictive control
Model predictive traffic control: Efficiency versus accuracy	prof. B. De Schutter	Optimal and model predictive control, Automotive and intelligent transportation systems, Distributed and large-scale systems
Modeling and control of urban or highway traffic systems	B. De Schutter	Modeling and analysis, Optimal and model predictive control, Automotive and intelligent transportation systems
Optimal trajectory planning for trains using spline methods	prof. B. De Schutter	Optimization and algorithms for control, Automotive and intelligent transportation systems
Reduction of traffic emissions using model predictive control	prof. B. De Schutter	Optimal and model predictive control
Vehicle routing under dynamic network topologies	prof. B. De Schutter	Optimization and algorithms for control, Fundamentals, Discrete-event and hybrid systems
Traffic Network Control based on Urban Properties	prof. J. Hellendoorn	Automotive and intelligent transportation systems, Modeling and analysis, System identification and estimation, Distributed control
Design and Test of a Haptic Gas Pedal for a new purpose	prof. E.G.M. Holweg	Automotive and intelligent transportation systems, Modeling and analysis, System identification and estimation
Automatic path generation and high-level control of heavy-duty trucks	T. Keviczky	Automotive and intelligent transportation systems, Optimization and algorithms for control, Optimal and model predictive control
Building a mobile robot testbed for multi-agent and distributed control applications	T. Keviczky	Multi-agent systems, Distributed control
Consensus-seeking using distributed predictive control	T. Keviczky	Distributed and large-scale systems, Multi-agent systems, Distributed control, Optimal and model predictive control
Distributed constraint fulfillment in cooperative control	T. Keviczky	Distributed control, Multi-agent systems, Distributed and large-scale systems, Optimal and model predictive control
Distributed optimization and MPC	T. Keviczky	Optimal and model predictive control, Distributed and large-scale systems, Distributed control, Optimization and algorithms for control
Supervised Autonomous Cooperation of Intelligent Specialty Vehicles	T. Keviczky	Distributed and large-scale systems, Distributed control, Multi-agent systems, Optimal and model predictive control
Sensorfusion for Scanning Probe Microscopy	G. Schitter	Imaging and adaptive optics, Mechatronics, robotics and micro-systems, Modeling and analysis, Statistical signal processing
Interactive Mobile Robots	T.J.J. van den Boom	Mechatronics, robotics and micro-systems, Multi-agent systems
Model predictive control of max-plus-linear discrete event systems	T.J.J. van den Boom	Discrete-event and hybrid systems, Modeling and analysis, Optimal and model predictive control
Modelgebaseerde operationele regeling van spoorwegnetwerken	T.J.J. van den Boom	Discrete-event and hybrid systems, Optimal and model predictive control
Adaptive control for High performance Astronomy	prof. M. Verhaegen	Adaptive and learning control, Distributed control, Imaging and adaptive optics
Adaptive Control for Image Resolution Improvement in Two Photon Microscopy	prof. M. Verhaegen	Imaging and adaptive optics, Adaptive and learning control
Distributed control for thermoelastic disturbance rejection in optical lithography systems	prof. M. Verhaegen	Adaptive and learning control, Distributed and large-scale systems
Distributed Control of a new Deformable Mirror for High Performance Imaging	prof. M. Verhaegen	Distributed control, Imaging and adaptive optics
Distributed wavefront reconstruction on multi-core hardware for the European Extremely Large Telescope	prof. M. Verhaegen	Imaging and adaptive optics, Distributed and large-scale systems
Model based Control design of adaptive optics for confocal microscope with biological specimen	prof. M. Verhaegen	Imaging and adaptive optics, Robust and fault-tolerant control, System identification and estimation

Last modified: 22 May 2013, 15:30 UTC

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Applications
Control of high-resolution imaging
Correct-by-design controller synthesis
Data driven and fault tolerant control
Discrete-event systems
Distributed and large-scale systems
Distributed estimation and control
Distributed robotics
Fundamentals
Fuzzy and AI-based control
Hybrid and nonlinear systems
Hybrid systems
Identification and estimation
Infrastructure networks (water,energy,logistics)
Intelligent control
Learning and adaptive control
Legged locomotion
Linear systems
Machine learning
Manipulation
Model predictive control
Model reduction
Model-based control
Modeling and analysis
Modeling of aero-elastic structures
Monitoring and fault detection
Multi-agent systems
Networked control systems
Nonlinear and LPV systems
Nonlinear estimation
Optics and imaging
Optimization-based control
Passivity-based control
Process technology
Railway networks
Road traffic networks
Robotics and mechatronics
Robust control
Spatial-temporal large-scale systems
Statistical signal processing
Synchronization control
System identification
Transportation and infrastructure
Wind energy