Fuzzy Control - Interaktive Studienpläne der TU Ilmenau

System Identification, Control

By the end of the course, students should be able to understand and analyse fuzzy-based systems. They should be able to design special fuzzy systems for control engineering applications (fuzzy controllers). From the lectures, they have learnt the theoretical foundations of selecting and parameterising problem-adapted fuzzy components (membership functions, operators, etc), designing different types of fuzzy controllers, implementing control specifications (overshoot, settling time, etc.) by changing the parameter settings; and the application of different nonlinear optimisation methods, such as evolution strategy and heuristic search, for controller design. Furthermore, they have learnt how to design knowledge-based systems in control applications such as fuzzy controllers and the effects of individual system components on the way the controller works. From the lectures and laboratories, the students have learnt how to develop solutions for the design of fuzzy controllers by working on practice questions and by completing the laboratory. Furthermore, the laboratory has provided the students with greater appreciation and understanding of the applications of fuzzy controllers in real systems, as well as some of the challenges in such applications.

·Introduction to the Concept of Fuzzy Systems and their Relationship with Everyday Life
·Foundations of Fuzzy-Control Theory
·Modelling of Fuzzy Systems
·Characteristics of Fuzzy Systems
·Optimal Design of Fuzzy Controllers
·Adaptive Fuzzy Ideas
·Applications of Fuzzy Systems and Controllers in industrial systems
·Software Used: Fuzzy Logic Toolbox for MATLAB

Presentations, Course notes, and Whiteboard lectures, Online-Video-System, Moodle

Fuzzy Logik, Neuronale Netze und Evolutionäre Algorithmen Shaker Verlag, Aachen 2005.

Kiendl H.: Fuzzy Control methodenorientiert, Oldenbourg, München 1997.
Piegat A.: Fuzzy Modeling and Control, Germany, Heidelberg: Physica-Verlag 2001.

Schöneburg E., Heinzmann F., Fedderson S.:  Genetische Algorithmen und Evolutionsstrategien, Addison-Wesley, 1994.
Rechenberg I.: Evolutionsstrategie '94, frommann-holzboog, 1994

Das Modul Fuzzy Control mit der Prüfungsnummer 220495 schließt mit folgenden Leistungen ab:

• mündliche Prüfungsleistung über 30 Minuten mit einer Wichtung von 100% (Prüfungsnummer: 2200865)
• Studienleistung mit einer Wichtung von 0% (Prüfungsnummer: 2200866)

Dr. Christoph Weise

Das Modul Fuzzy Control mit der Prüfungsnummer 220495 schließt mit folgenden Leistungen ab:

• mündliche Prüfungsleistung über 30 Minuten mit einer Wichtung von 100% (Prüfungsnummer: 2200865)
• Studienleistung mit einer Wichtung von 0% (Prüfungsnummer: 2200866)