My research interests cover the wide area of modelling, identification and model-based control of dynamical systems, with applications in industrial processes, oil reservoir engineering systems and high-tech mechatronic systems with excursions to energy systems in automotive and power grid control. On the basis of an ERC Advanced Research Grant I am particularly focusing on the development of techniques for data analytics and identification in (large-scale) dynamic networks.
The development of models that are accurate and manageable to be used as a basis of model-based operations (control, monitoring, surveillance, detection, optimization, measurement) generally requires the combination of physical insights and dedicated measurement data. The models represent all aggregated knowledge that is available on the processes to be optimized/controlled, and allow the control/optimization of processes under uncertain conditions, and while adapting to changing environments and requirements.
Model-based X (control, monitoring, measurement, surveillance, detection, optimization, measurement) is the leading paradigm for high-performance operation of complex interacting engineering systems.