Projects by person

prof. R. Babuška

• Adaptive State Estimation and Control of a Hopper Dredger
• Ant Colony Optimization for Dynamic Traffic Routing
• Approximate reinforcement learning and dynamic programming for control
• Artificial intelligence for the control of a hopper dredger
• Automatic generation of control software for mechatronic systems
• Control of inkjet printheads
• Distributed control of multi-agent systems on a mobile robot testbed
• Distributed Sensing and State Estimation
• Fuzzy observers for nonlinear systems
• Grey-box modeling and plant-wide integrated control of water purification processes
• High-Dimensional Reinforcement Learning
• Intelligent control of legged robots
• Neuro-fuzzy modeling in model-based fault detection, fault isolation and controller reconfiguration
• Self-organizing moving agents for distributed sensing and control

prof. O.H. Bosgra

• Block structured based model reduction
• Control in reservoir engineering under model uncertainty
• Mechatronic redesign for active control of a micro fluid jet system
• Nonlinear Model Predictive Control of MSWC plants
• System identification of hydrocarbon reservoirs
• Vibration isolation and suppression applied to mechanical servo-systems

prof. B. De Schutter

• Ant Colony Optimization for Dynamic Traffic Routing
• Approximate reinforcement learning and dynamic programming for control
• Approximation methods for stochastic max-plus-linear systems
• Automatic generation of control software for mechatronic systems
• Development of advanced multi-agent control strategies for multi-class traffic networks
• Distributed and hierarchical model predictive control for large-scale systems
• Distributed control of multi-agent systems on a mobile robot testbed
• Distributed Sensing and State Estimation
• Fuzzy observers for nonlinear systems
• Game-theoretic methods for control of large-scale systems
• Game-theoretic multi-level methods for the control of large-scale systems
• Hierarchical and hybrid control of railway systems
• Hierarchical model predictive control for transportation systems
• Integrated control of road networks with model predictive control
• Intelligent control methods for flood and water management
• Model predictive control for discrete-event systems
• Model predictive control for hybrid systems
• Model-based predictive control for intelligent micro-transportation systems
• Model-Based Traffic Control for the Reduction of Emissions and Fuel Consumption
• Multi-agent control of large-scale hybrid systems
• Optimal and model predictive control of railway systems
• Self-organizing moving agents for distributed sensing and control
• Traffic control for large-scale urban traffic networks via MPC

prof. J. Hellendoorn

• Development of advanced multi-agent control strategies for multi-class traffic networks
• Game-theoretic multi-level methods for the control of large-scale systems
• Integrated control of road networks with model predictive control
• Model-based predictive control for intelligent micro-transportation systems
• Model-Based Traffic Control for the Reduction of Emissions and Fuel Consumption
• Modeling and Optimization on Local Traffic Networks
• Traffic control for large-scale urban traffic networks via MPC

prof. E.G.M. Holweg

• Global Chassis Control using Load Sensing

prof. C.W. Scherer

• Advanced missile guidance methods
• Application of advanced control concepts to microfactory
• Control of haptic devices for tele-microassembly
• Efficient analysis and synthesis tools for robust and scheduled controller design against time-varying and dynamic uncertainties

prof. G. Schitter

• Control of Piezo Deformable Mirror in Adaptive Optical Systems
• High-speed atomic force microscopy
• Model-based sub-nano positioning control systems

prof. P.M.J. Van den Hof

• Advanced Autonomous Model-Based Operation of Industrial Process Systems
• Advanced identification and modeling of LPV systems
• Automatic autorotation of a rotorcraft Unmanned Aerial Vehicle (UAV)
• Behavioral approach to LPV systems
• Control in reservoir engineering under model uncertainty
• Dynamic modeling, optimization and control of intensified production of fine chemicals in continuous reactors
• Exploiting the interface between process intensification and process control
• Identification of non-linear systems: identifiability and experiment design
• Integrated modeling and model-based auto-tuning of electron microscope systems
• Least costly identification experiment for control
• Model predictive control of industrial crystallizers
• Model-based control of the hydrodynamics of bubble columns
• Model-based sub-nano positioning control systems
• Nonlinear Model Predictive Control of MSWC plants
• System identification of hydrocarbon reservoirs

prof. M. Verhaegen

• "Distributed fault tolerant control of network connected systems: an application to wind farms"
• Adaptive learning control for offshore windturbines
• Adaptive optics for optical scanning microscopy
• Control for adaptive optics
• Control of Piezo Deformable Mirror in Adaptive Optical Systems
• Data-driven control for the next generation of wind turbines
• Distributed control for large adaptive optics systems
• Fast and high-performance control for E-ELT optical instruments
• Fault-tolerant control of industrial systems
• Global Chassis Control using Load Sensing
• Global Chassis Control using Load Sensing
• Integrated High Resolution Observing Through Turbulence
• Intelligent materials for active noise reduction (InMAR) - Condition monitoring
• Intelligent materials for active noise reduction (InMAR) - Control
• Iterative Learning Control for Complex Nonlinear Mechatronic Systems
• Modeling and control of distributed systems: system-identification based on data.
• Neuro-fuzzy modeling in model-based fault detection, fault isolation and controller reconfiguration
• Nonlinear control systems analysis
• Passivity-Based Global Chassis Control
• Reconfigurable handling and flying qualities for degrade flight systems using model predictive control
• Sustainable Control - A new approach to operate wind turbines

A. Abate

• Analysis and Verification of Stochastic Hybrid Systems
• Dynamical models for the quantitative understanding of the Drosophila melanogaster development
• Game-Theoretical and Optimal Control Methods in Systems Biology
• Identification of enzyme kinetics from dynamic data in large-scale metabolic networks
• Non-linear control tools for the analysis of the feasible enzyme space to understand the regulation of metabolism
• Switched Linear Quadratic Regulator in discrete-time: theory and algorithms

H.M.N.K. Balini

• Application of advanced control concepts to microfactory

L.D. Baskar

• Multi-agent control of large-scale hybrid systems

X.J.A. Bombois

• Advanced Autonomous Model-Based Operation of Industrial Process Systems
• Automatic autorotation of a rotorcraft Unmanned Aerial Vehicle (UAV)
• Control of inkjet printheads
• Identification of non-linear systems: identifiability and experiment design
• Least costly identification experiment for control

M. Burger

• Model-based predictive control for intelligent micro-transportation systems

I.L. Busoniu

• Approximate reinforcement learning and dynamic programming for control
• High-Dimensional Reinforcement Learning

Z. Cong

• Ant Colony Optimization for Dynamic Traffic Routing

M. Corno

• ABS for Regenerative Braking in Electric Vehicles
• Data-driven Methodologies for Battery Managment and Control
• Global Chassis Control using Load Sensing
• Intelligent Lane Selection Assistance System (ILSAS)

A.G. Dankers

• Identification of non-linear systems: identifiability and experiment design

A.J. den Dekker

• Development of advanced statistical tests to detect brain activity from fMRI data
• Integrated modeling and model-based auto-tuning of electron microscope systems
• Mapping neural activity from EEG data using a Kalman approach
• Optimal experimental design for quantitative electron microscopy

S. Djordjevic

• Model-based control of the hydrodynamics of bubble columns

M.D. Doan

• Distributed and hierarchical model predictive control for large-scale systems

J.F Dong

• Fault-tolerant control of industrial systems

R.M.L. Ellenbroek

• Distributed control for large adaptive optics systems

S. Farahani

• Approximation methods for stochastic max-plus-linear systems

P.R. Fraanje

• Control of Piezo Deformable Mirror in Adaptive Optical Systems
• Fast and high-performance control for E-ELT optical instruments
• Integrated High Resolution Observing Through Turbulence
• Intelligent materials for active noise reduction (InMAR) - Control

M. Gerard

• Global Chassis Control using Load Sensing

I. Grondman

• High-Dimensional Reinforcement Learning

N.B. Groot

• Game-theoretic multi-level methods for the control of large-scale systems

P.S.C. Heuberger

• Advanced identification and modeling of LPV systems
• Behavioral approach to LPV systems
• Identification of non-linear systems: identifiability and experiment design

Z. Hidayat

• Distributed Sensing and State Estimation

I. Houtzager

• Iterative Learning Control for Complex Nonlinear Mechatronic Systems

A.E.M. Huesman

• Block structured based model reduction
• Dynamic modeling, optimization and control of intensified production of fine chemicals in continuous reactors
• Economic optimal plantwide control
• Exploiting the interface between process intensification and process control
• Model predictive control of industrial crystallizers

D.A. Joosten

• Reconfigurable handling and flying qualities for degrade flight systems using model predictive control

T. Keviczky

• Distributed and hierarchical model predictive control for large-scale systems
• Distributed control of multi-agent systems on a mobile robot testbed

A.A. Khalate

• Control of inkjet printheads

J.J. Koopman

• Passivity-Based Global Chassis Control

S. Kuiper

• High-speed atomic force microscopy

Zs. Lendek

• Adaptive State Estimation and Control of a Hopper Dredger
• Fuzzy observers for nonlinear systems

Y. Li

• Model-based predictive control for intelligent water management

S. Lin

• Traffic control for large-scale urban traffic networks via MPC

G.A.D. Lopes

• Automatic generation of control software for mechatronic systems
• Distributed control of multi-agent systems on a mobile robot testbed
• High-Dimensional Reinforcement Learning
• Intelligent control of legged robots

P. Massioni

• Modeling and control of distributed systems: system-identification based on data.

A. Mesbah

• Advanced Autonomous Model-Based Operation of Industrial Process Systems
• Model predictive control of industrial crystallizers

D.P. Molenaar

• Adaptive learning control for offshore windturbines

O. Naeem

• Block structured based model reduction

R.R. Negenborn

• Intelligent control methods for flood and water management
• Multi-agent control of large-scale hybrid systems

N. Nikacevic

• Dynamic modeling, optimization and control of intensified production of fine chemicals in continuous reactors
• Exploiting the interface between process intensification and process control

A. Nuñez

• Hierarchical model predictive control for transportation systems

F. Pinchetti

• Integrated High Resolution Observing Through Turbulence

I. Polat

• Control of haptic devices for tele-microassembly

J.K.R. Rice

• Iterative Learning Control for Complex Nonlinear Mechatronic Systems

A. Simonetto

• Distributed control of multi-agent systems on a mobile robot testbed

H. Song

• Control of Piezo Deformable Mirror in Adaptive Optical Systems

K. Stankova

• Game-theoretic methods for control of large-scale systems
• Game-Theoretical and Optimal Control Methods in Systems Biology

P.M. Stano

• Adaptive State Estimation and Control of a Hopper Dredger

S. Taamallah

• Automatic autorotation of a rotorcraft Unmanned Aerial Vehicle (UAV)

A.N. Tarau

• Multi-agent control of large-scale hybrid systems

A. Tejada Ruiz

• Integrated modeling and model-based auto-tuning of electron microscope systems

P.I. Torres

• "Distributed fault tolerant control of network connected systems: an application to wind farms"

R. Toth

• Advanced identification and modeling of LPV systems
• Behavioral approach to LPV systems
• Identification of non-linear systems: identifiability and experiment design

E.J. Trottemant

• Advanced missile guidance methods

J. van Ast

• Self-organizing moving agents for distributed sensing and control

M. van den Berg

• Development of advanced multi-agent control strategies for multi-class traffic networks

T.J.J. van den Boom

• Approximation methods for stochastic max-plus-linear systems
• Distributed control of multi-agent systems on a mobile robot testbed
• Hierarchical and hybrid control of railway systems
• Model predictive control for discrete-event systems
• Model predictive control for hybrid systems
• Optimal and model predictive control of railway systems
• Reconfigurable handling and flying qualities for degrade flight systems using model predictive control

G.J. van der Veen

• Data-driven control for the next generation of wind turbines

J.F.M. van Doren

• System identification of hydrocarbon reservoirs

J.R. van Hulzen

• High-speed atomic force microscopy
• Model-based sub-nano positioning control systems

J.W. van Wingerden

• "Distributed fault tolerant control of network connected systems: an application to wind farms"
• Adaptive learning control for offshore windturbines
• Data-driven control for the next generation of wind turbines
• Experimental validation of the wind turbine drive train dynamics using advanced system identification techniques

Y. Wang

• Hierarchical and hybrid control of railway systems

H.W. Yoo

• Adaptive optics for optical scanning microscopy

S.K. Zegeye

• Model-Based Traffic Control for the Reduction of Emissions and Fuel Consumption

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