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Course Catalog 2014-2015
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
| Study type | P1 | P2 | P3 | P4 | Summer | Implementations | Lecture times and places |
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Requirements
Exam. PC and computing exercises.
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 (1-5) will be used on the course
Prerequisite relations (Requires logging in to POP)
Correspondence of content
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More precise information per implementation
| Implementation | Description | Methods of instruction | Implementation |