Feb 26, 2020   9:16 p.m. Viktor
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Course syllabus I-VIR - Soft Computing Methods in Control (FEEIT - WS 2019/2020)

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University: Slovak University of Technology in Bratislava
Faculty: Faculty of Electrical Engineering and Information Technology
Course unit code: I-VIR
Course unit title: Soft Computing Methods in Control
Mode of delivery, planned learning activities and teaching methods:
lecture2 hours weekly (on-site method)
2 hours weekly (distance method)
seminar2 hours weekly (on-site method)
2 hours weekly (distance method)

Credits allocated: 6
Recommended semester/trimester: Robotics and Cybernetics - master (compulsory), 3. semester
Robotics and Cybernetics - master (compulsory), 3. semester
Level of study: 2.
Prerequisites for registration: none
Assesment methods:
Three tests, each 10 points. The condition is to obtain at least 3 points in each test. Mandatory fulfillment of all laboratory excercises or individual excercises respectively.
Learning outcomes of the course unit:
After finishing of the subject the student will understand the basic principles of computational intelligence (soft computing) as: fuzzy logic, artificial neural networks and evolutionary algorithms. He will be able to apply these approaches in solving practical tasks in the control engineering area. He will be able to implement these approaches in controller design, robust control design, control algorithm design, modelling of nonlinear dynamic systems, static optimisation, logistic tasks etc.
Course contents:
1. Computational Intelligence, overview.
2. Fuzzy logic, principle.
3. Using fuzzy logic in conrol, fuzzy regulation.
4. Fuzzy supervisory control, fuzzy adaptation.
5. Artificial neural networks (ANS), overview.
6. Using ANS in modelling of nonlinear dynamic systems.
7. Using ANS in process control.
8. Genetic Algorithms (GA).
9. Using GA in process control.
10 Using GA in static optimisation, other tasks.
Recommended or required reading:
Language of instruction: slovak or english
Courses evaluation:
Assessed students in total: 103

19,4 %16,5 %22,3 %20,4 %19,4 %2,0 %
Name of lecturer(s): Ing. Slavomír Kajan, PhD. (examiner, instructor, lecturer) - slovak, english
prof. Ing. Ivan Sekaj, PhD. (examiner, instructor, lecturer, person responsible for course, tutor) - slovak, english
Last modification: 6. 6. 2019
Supervisor: prof. Ing. Ivan Sekaj, PhD. and programme supervisor

Last modification made by RNDr. Marian Puškár on 06/06/2019.

Type of output: