Predictive control is a dynamically developing area in automatic control with direct impact in practice. The aim of research is to produce algorithms of predictive control with new features which will fit better to requirements from practice. It will concern mainly the use of new models of processes which will broaden the area of application mainly toward nonlinear systems.

The concept of conditional independence (CI) plays an essential role in the area of decision-making under uncertainty (in artificial intelligence), in particular, in the area of probabilistic reasoning. The aim of the project is to try to solve mathematical problems which arise in connection with the methods of computer representation of CI structures and their learning based on data.