ASE-7716 Predictive and Fuzzy Control, 5 cr
Additional information
The course will be lectured in every second year.
Suitable for postgraduate studies.
Person responsible
Hannu Koivisto
Lessons
Implementation | Period | Person responsible | Requirements |
ASE-7716 2016-01 | 3 - 4 |
Hannu Koivisto Mikko Laurikkala |
Learning Outcomes
The course considers two widely used modern control methodologies: model predictive control and fuzzy control.
Content
Content | Core content | Complementary knowledge | Specialist knowledge |
1. | General understanding of model predictive control and fuzzy control. | ||
2. | Benefits and disadvantages of these frameworks. | ||
3. | Capability to use these methods with Matlab/Simulink environment. | ||
4. | Capability to analyze possible applicability to real industrial processes. |
Instructions for students on how to achieve the learning outcomes
Exam and exercise work.
Assessment scale:
Numerical evaluation scale (0-5)
Correspondence of content
Course | Corresponds course | Description |
ASE-7716 Predictive and Fuzzy Control, 5 cr | ASE-7716 Predictive and Fuzzy Control, 5 cr |