Control Engineering

pyramidi_saa2

Research group information

Contact information

Research group leader

  • Professor
    Mika Ruusunen

Research group description

Control Engineering research group focuses on the modeling and process control, sensor fusion, advanced data analysis and optimization. Emerging research themes are related to continuous model and soft sensor adaptation applications, model reliability assessment in model-based control systems, and predictive (simulation aided) optimization with uncertainties.  

Methods to allow easy and automatic implementation and re-calibration of measurements into real environments are of interest, while research on robust and adaptive soft sensors utilizing data fusion continues.

In the context of AI methods, future development focuses on the enabling of more facile utilization of AI methods, especially the implementation and maintenance issues in dynamic processes, incorporation of expert knowledge; and the fusion of AI tools and process optimization methods.

Research projects

Publications

Education