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VVF Control Theory

course grade year semester branch
VVF 2 2 winter Applied Computer Science and Control
VVF 2 2 winter Applied Computer Science and Control (P)
VVF-A 2 1 winter Mechanical Engineering
VVF-A 2 2 winter Applied Computer Science and Control
VVF-K 2 2 winter Applied Computer Science and Control
VVF-K 2 2 winter Applied Computer Science and Control (P)

Supervisor

prof. Ing. Pavel Ošmera, CSc.

Annotation

The course is aimed to modern methods in design and synthesis of control circuits using methods of artificial intelligence. Presented are selected methods of artificial intelligence, optimal and adaptive methods of control, fuzzy control and neural controller. Students will adopt theoretical and practical implementation of these methods and RT control. The course broadens knowledge of specific parts of applied informatics in the field of advanced control. Used is the most advanced software and hardware technology of companies B&R Automation and Mathworks (Matlab/Simulink) and substantial know-how of course's authors.

More information: VVF, VVF-K, VVF-A