Knowledge-Based Control Systems (SC42050)Short DescriptionTheory and applications of knowledge-based and intelligent control systems. The course is motivated by the following topics: Fuzzy sets and systems, Fuzzy clustering for data analysis and system identification, Knowledge based fuzzy control, Artificial neural networks, Control based on fuzzy and neural models, Reinforcement learning, Applications. Prerequisites & Target GroupB.Sc. in Electrical Engineering, mechanical Engineering, Computer Science, Applied Mathematics (or similar) with emphasis on control-related courses ContentTopics covered in this course include:
Study load hours (112 hours total per student)
GradingThe exam grade counts for 60% of the final grade of the course. The solutions to the assignments (see Assignments) count for the remaining 40%: Matlab assignment 20% and Literature assignment 20%. Each activity must be approved separately to obtain the credits of this course. Note: If you approved in previous years the exam, and/or the Matlab assignment, and/or the Literature assignment, the grade you obtained is automatically consider for this year, so you don't have to approve the activities again. |