Study Guide 2015-2016

ASE-7716 Predictive and Fuzzy Control, 5 cr

Additional information

The course will be lectured in every second year.
Suitable for postgraduate studies
Will not be lectured year 2015-2016

Person responsible

Hannu Koivisto

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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



Correspondence of content

Course Corresponds course  Description 
ASE-7716 Predictive and Fuzzy Control, 5 cr ASE-7716 Predictive and Fuzzy Control, 5 cr  

Last modified 14.01.2015