Knowledge of design management of partially known dynamic system with a dynamic, structured and parametric uncertainty model and methods of synthesis of robust controllers. For complex systems with a high degree of uncertainty to apply knowledge-based approaches to qualitative models, fuzzy models and neuro-fuzzy models for designing intelligent control systems.

Type of methodology: Combination of lecture and hands-on

Participants receive the certificate of attendance: Yes

Paid training activity for participants: Yes, for all

Participants prerequisite knowledge: Numerical methods (linear algebra, statistics) Domain-specific background knowledge