Centre for Intelligent Systems was established on January 1, 2017 in the Department of Computer Systems on the basis of Control Systems Research Laboratory, Chair of Automatic Control and System Analysis and Chair of Circuit Theory and Design from the former Department of Computer Control. All knowledge, skills, and expertise from Machine Learning and Control Theory have allowed the Centre personnel to proceed to tackle research endeavors related to Intelligent Systems with full force.
The research group focuses on development and implementation of data driven control techniques that improve energy performance and reduce emissions of technical systems. Data-driven control algorithms lying on the border between control theory, machine learning and data science have an important role on improvement of buildings’ energy performance making possible for control systems to acquire knowledge and learn from constantly growing data sets.