Department of Chemical and Metallurgical Engineering

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.
CMET_PCA group

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:

  1. Data
  2. Phenomenological and probabilistic modelling
  3. Statistical inference/learning
  4. 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.

Open positions

Currently, there are no open positions

Related content:

Professorship strengthens the cooperation of ABB and Aalto in Industrial Internet solutions

Dr. Iiro Harjunkoski has been appointed Adjunt Professor at the School of Chemical Engineering.

Iiro Harjunkoski

Latest publications:

On the observability of activated sludge plants

Otacilio Bezerra Leite Neto, Michela Mulas, Francesco Corona 2021 IFAC-PapersOnLine

A Grid-Structured Model of Tubular Reactors

Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin 2021 2021 IEEE 19th International Conference on Industrial Informatics (INDIN)

Design of an Event-Driven Rescheduling Algorithm via Surrogate-based Optimization

Teemu Ikonen, Keijo Heljanko, Iiro Harjunkoski 2021

On the fitting of bathtub-shaped failure models to lifetime data for selective maintenance optimization

Teemu J. Ikonen, Iiro Harjunkoski 2021 Computer Aided Chemical Engineering

Surrogate-based optimization of a periodic rescheduling algorithm

Teemu Ikonen, Keijo Heljanko, Iiro Harjunkoski 2021 AIChE Journal

Modeling and Analysis of Organic Waste Management Systems in Centralized and Decentralized Supply Chains Using Generalized Disjunctive Programming

Maryam Mohammadi, Edgar Martín-Hernández, Mariano Martín, Iiro Harjunkoski 2021 Industrial and Engineering Chemistry Research

About the classical and structural controllability and observability of a common class of activated sludge plants

Otacilio B. L. Neto, Michela Mulas, Francesco Corona 2021 Journal of Process Control

Predictive control of activated sludge plants to supply nitrogen for optimal crop growth

Otacilio Bezerra Leite Neto, Antoine Haddon, Farouk Aichouche, Jerome Harmand, Michela Mulas, Francesco Corona 2021 IFAC-PapersOnLine

Performance analysis of waste-to-energy technologies for sustainable energy generation in integrated supply chains

Maryam Mohammadi, Iiro Harjunkoski 2020 Computers and Chemical Engineering
More information on our research in the Research database.
Research database
  • Published:
  • Updated:
Share
URL copied!