In the last five years period the following scientific areas were investigated and reported: - Adaptive systems: - global stability and stability using bifurcation analysis and using Popov hyperstability theory, - simple fuzzy adaptive controller for nonlinear processes, - robust fuzzy model based adaptive controller. - Multivariable systems: - controller tuning using genetic algorithms, - the role of expert systems in control design, - extended Edmunds method for controller design, - the usage of Individual Channel Analysis, - simple control for the systems with considerable time delay. - Predictive control: - fuzzy model based control using neuro-fuzzy identification, - fuzzy predictive functional control in the state space, - implementation on the programmable logic controller for the systems with considerable time delay, - comparison of predictive functional control with PID control. - Hybrid systems and supervisory control: - supervisory and hybrid systems control design, - development of a simulation environment for continuous-discrete event systems, - modelling, simulation and design of supervisory control using Petri nets, - modelling of systems with continuous dynamics and logic constraints, - modelling of hybrid dynamic systems with language HYSDEL. - Fault detection: - robust fault detection on the basis of modelling errors compensation, - models in detection of pipeline leakage using neural nets and knowledge bases, - principal components analysis in fault detection for hydraulic and for the fermentation process. - Multiagent systems: - application in robot soccer game, - robot computer visionand game strategies, - robot soccer game simulator development, - modelling of agents collisions, - development of robot soccer game analysis tool. - Miscellaneous: - model based fuzzy-neural control, - combination od different approaches to multivariable system models development, - implementation of fuzzy controller on programmable logic controller, - minimisation of production times in the multiproduct batch processes - tasks scheduling in the batch systems, - introduction of artificial intelligence approaches in the pharmacokinrtical and pharmacodynamical models, - data mining in the drugs dosage forms and therapies design, - methods of pharmacokinetic parameters estimation. Basic features of the mentioned studies are the integrity and completeness of approach and in the intention to practical usability evaluation. Of course the usage in the modern educational processes is also important.