Process control and automation
The group led by Prof. Francesco Corona and Prof. Iiro Harjunkoski is a trans-disciplinary research team that builds up on chemical engineering, applied mathematics and computer science. Our research is at the interface of automatic control, machine learning, and optimisation, we emphasise the computational and inferential thinking of process systems.
We develop fundamental methodologies and concrete tools of process control and process systems engineering that are capable of sensing, learning, reasoning, and actuating on chemical and physical systems based on observational data and domain knowledge.
The research develops on four foundational pillars:
- Data
- Phenomenological and probabilistic modelling
- Statistical inference/learning
- Optimal control/decision
The formal framework for modelling and control is given as a model of the system in which the uncertainties associated with our knowledge and the measuring process are clearly stated. An important objective in our research is the design and control of models that capture complex dynamics.
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Research team members:
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Dr. Iiro Harjunkoski has been appointed Adjunt Professor at the School of Chemical Engineering.
Latest publications:
More information on our research in the Aalto research portal.