Projects
Minimal information model multi-objective predictive control for multivariable systems (MIMOPREC) Ghent University
This project aims to deliver a new methodology tailored for industrial operators to tune and manage process control by model predictive control strategies in a user-friendly, mixed heuristicmathematic context. The main innovative character is that it no longer requires availability of an accurate prediction model of the complex dynamic process to be controlled with multi-objective optimization.
Voltage Coordination in Multi-Area Power Systems via Distributed Model Predictive Control Ghent University
The research proposes a coordination paradigm for properly coordinating local control actions, taken by many communicating control agents, in order to maintain multi-area power system voltages within acceptable bounds. The proposed control scheme is inspired by distributed model predictive control, and relies on the communication of planned local control actions among neighboring control agents, each possibly operated by an independent ...
Model Predictive Control and Innovative System Integration of GEOTABS in Hybrid Low Grade Thermal Energy Systems - Hybrid MPC GEOTABS Ghent University
The MPC-GT project brought thogether a transdisciplinary team of SMEs, large industry and research institutes, experienced in research and application of design and control systems in the combined building and energy world. Based on prior research, supported by (joint) EU and national projects, and practical experience the bottlenecks where identified that prevent at this moment a real breakthrough of geothermal heat pumps (GEO-HP) combined ...
Spinning out of control: A personalized prediction model for binging behavior in eating and alcohol disorders. KU Leuven
The development of a flow sheet model for a full continuous pharmaceutical from-powder-to-tablet manufacturing line to gather process knowledge and the development of control strategies Ghent University
Mechanistic models of pharmaceutical processes are required to predict and control the continuous production of tablets based on real-time measurements and adjustment of significant process variables. The development of these models will adopt a step-wise approach. In this project the focus will be the modelling of a full continuous from-powder-to-tablet manufacturing line
LOWATTER, Model based control for hot water systems Ghent University
The mission of the LOWATTER project team is to make a significant contribution to energy use and safety risk reduction during domestic hot water (DHW) production, storage and distribution by
reducing the tapwater heating temperature, by minimizing and controling the Legionella pneumophila risk and by energy use reduction.
The ambition is to establish a spin-off: a European company that markets a domestic hot water heating ...
Predictive models to dengue/severe dengue and join models to TB/HIV Hasselt University
Bioprocess Modelling and Control by Constraint-based Optimization Methods KU Leuven
A recent trend for bioprocess modelling consist of using more complex models to better capture the metabolic behavior of micro-organisms.
In this work, dynamic enzyme-cost flux balance analysis (deFBA), a resource allocation model, is used as framework to describe biotechnological processes.
In addition to making a distinction for multiple biomass components, this method explicitly accounts for a limited enzyme capacity.
The ...
Sensor fusion and adaptive learning for optimization and control of Wire-Arc Additive Manufacturing – with applications to functionally graded materials KU Leuven
A niche research trend in advanced materials is the creation of materials that are non-isotropic or graded in single or multiple directions of a component, which is referred to as functionally graded materials (FGM). Directional material properties are seen in nature in various forms and this can be utilized in engineering applications where a gradation in thermal, mechanical or tribological properties are required. FGMs can be created with ...