| Current Research | Archive | Publications | PhD theses | Software |
Projects in alphabetical order
- "Distributed fault tolerant control of network connected systems: an application to wind farms"
- ABS for Regenerative Braking in Electric Vehicles
- Adaptive learning control for offshore windturbines
- Adaptive optics for optical scanning microscopy
- Adaptive State Estimation and Control of a Hopper Dredger
- Advanced Autonomous Model-Based Operation of Industrial Process Systems
- Advanced missile guidance methods
- Analysis and Verification of Stochastic Hybrid Systems
- Ant Colony Optimization for Dynamic Traffic Routing
- Application of advanced control concepts to microfactory
- Approximate reinforcement learning and dynamic programming for control
- Approximation methods for stochastic max-plus-linear systems
- Artificial intelligence for the control of a hopper dredger
- Automatic autorotation of a rotorcraft Unmanned Aerial Vehicle (UAV)
- Automatic generation of control software for mechatronic systems
- Block structured based model reduction
- Control for adaptive optics
- Control in reservoir engineering under model uncertainty
- Control of inkjet printheads
- Control of haptic devices for tele-microassembly
- Control of Piezo Deformable Mirror in Adaptive Optical Systems
- Data-driven control for the next generation of wind turbines
- Data-driven Methodologies for Battery Managment and Control
- Development of advanced multi-agent control strategies for multi-class traffic networks
- Distributed and hierarchical model predictive control for large-scale systems
- Distributed control for large adaptive optics systems
- Distributed control of multi-agent systems on a mobile robot testbed
- Distributed Sensing and State Estimation
- Dynamic modeling, optimization and control of intensified production of fine chemicals in continuous reactors
- Dynamical models for the quantitative understanding of the Drosophila melanogaster development
- Economic optimal plantwide control
- Efficient analysis and synthesis tools for robust and scheduled controller design against time-varying and dynamic uncertainties
- Experimental validation of the wind turbine drive train dynamics using advanced system identification techniques
- Exploiting the interface between process intensification and process control
- Fast and high-performance control for E-ELT optical instruments
- Fault-tolerant control of industrial systems
- 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
- Game-Theoretical and Optimal Control Methods in Systems Biology
- Global Chassis Control using Load Sensing
- Global Chassis Control using Load Sensing
- Grey-box modeling and plant-wide integrated control of water purification processes
- Hierarchical and hybrid control of railway systems
- Hierarchical model predictive control for transportation systems
- High-Dimensional Reinforcement Learning
- High-speed atomic force microscopy
- Identification of enzyme kinetics from dynamic data in large-scale metabolic networks
- Identification of non-linear systems: identifiability and experiment design
- Integrated control of road networks with model predictive control
- Integrated High Resolution Observing Through Turbulence
- Intelligent control methods for flood and water management
- Intelligent control of legged robots
- Intelligent Lane Selection Assistance System (ILSAS)
- 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
- Least costly identification experiment for control
- Mechatronic redesign for active control of a micro fluid jet system
- Model predictive control for discrete-event systems
- Model predictive control for hybrid systems
- Model predictive control of industrial crystallizers
- Model-based control of the hydrodynamics of bubble columns
- Model-based predictive control for intelligent micro-transportation systems
- Model-based predictive control for intelligent water management
- Model-based sub-nano positioning control systems
- Model-Based Traffic Control for the Reduction of Emissions and Fuel Consumption
- Modeling and control of distributed systems: system-identification based on data.
- Modeling and Optimization on Local Traffic Networks
- Multi-agent control of large-scale hybrid systems
- Neuro-fuzzy modeling in model-based fault detection, fault isolation and controller reconfiguration
- Nonlinear control systems analysis
- Non-linear control tools for the analysis of the feasible enzyme space to understand the regulation of metabolism
- Nonlinear Model Predictive Control of MSWC plants
- Offshore Wind Power Plant control for minimal loading
- Optimal and model predictive control of railway systems
- Passivity-Based Global Chassis Control
- Reconfigurable Fault-Tolerant Predictive Flight Control
- Reconfigurable handling and flying qualities for degrade flight systems using model predictive control
- Self-organizing moving agents for distributed sensing and control
- Sustainable Control - A new approach to operate wind turbines
- Switched Linear Quadratic Regulator in discrete-time: theory and algorithms
- System identification of hydrocarbon reservoirs
- Traffic control for large-scale urban traffic networks via MPC
- Vibration isolation and suppression applied to mechanical servo-systems
