Unit of Process Control and Informatics

Welcome

to the Unit of Process Control & Informatics

The research interests and activities of our laboratory focus on design, modeling, identification, optimization and control of products, systems and processes.

Our efforts include not only traditional chemical engineering systems, but also energy systems (smart grids), production planning and scheduling systems as well as biological systems, with particular emphasis on systems toxicology.

We are particularly interested on data-driven modeling and control methods and on the development and application of information and web-based technologies. To deal with data complexity, nonlinearity and noise, we are working extensively in the scientific areas of computational intelligence, machine learning and data mining.

Control

We have developed multiparametric optimization algorithms and solved optimal control problems for a variety of discrete-time dynamical systems such as markov jump linear systems and switched linear systems subject to control and state constraints. [...]

Chemo/Nano/Bio/Pharma - Informatics

Development of mathematical relationships linking chemical structure and pharmacological activity in a quantitative manner for a series of compounds. Emphasis is given in the development of QSARs for drug design. [...]

Machine Learning

Three training algorithms for radial basis function neural networks have been developed. The fuzzy means algorithm uses a fuzzy partition of the input space and combines self-organized and supervised learning. [...]

Systems Modelling & Optimization

A framework has been developed based on coherent risk measures and multiparametric programming for the formulation and solution of multi-stage stochastic optimization problems that arise in the context of dynamic portfolio allocation. [...]

“Machines take me by surprise with great frequency.”-Alan Turing

Design: TEMPLATED Images: Unsplash