Course detail
Intelligent Control Systems
FSI-RIRAcad. year: 2020/2021
The course gives a brief overview of selected parts of control theory with accent on their practical application. An applicability of introduced resources to tasks of technical systems and processes control is discussed.
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Learning outcomes of the course unit
Prerequisites
Co-requisites
Planned learning activities and teaching methods
Assesment methods and criteria linked to learning outcomes
Course curriculum
Work placements
Aims
Specification of controlled education, way of implementation and compensation for absences
Recommended optional programme components
Prerequisites and corequisites
Basic literature
Recommended reading
Elearning
Classification of course in study plans
Type of course unit
Lecture
Teacher / Lecturer
Syllabus
2. State feedback control.
3. State controller design with disturbance compensation.
4. State controller design with state estimator.
5. State control design generalization, appropriate structures for state control design.
6. Case study of technical problem.
7. Fuzzy sets, linguistic variable.
8. Inference rules, fuzzification, defuzzification.
9. Rule systems, fuzzy controllers.
10. Rule base creation of fuzzy controller by empiric knowledge on system behavior.
11. Case study of technical problem.
12. Rule base creation of fuzzy controller by general metarules.
13. Case study of technical problem.
Computer-assisted exercise
Teacher / Lecturer
Syllabus
2. Dynamic properties of the system.
3. Case study: controller classic solution.
4. Case study: state controller I.
5. Case study: state controller II (with disturbance compensation).
6. Case study: state controller III (with state estimator).
7. Case study: state controller IV (with state estimator and disturbance compensation).
8. Basics of work with Matlab/Simulink/Fuzzy Logic Toolbox.
9. Case study: fuzzy controller I (intuitively).
10. Case study: fuzzy controller II (intuitively).
11. Case study: fuzzy controller III (by empiric knowledge).
12. Case study: fuzzy controller IV (by application metarules).
13. Accreditation test.
Elearning