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50370 Fuzzy control and neural networks
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Danish title: Fuzzy regulering og neurale netværk
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Language: English
Credit points: 5 |
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| Type: | Ph.D.-level, Open University
Language: English |
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Previous course: C5354
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No credit points with: C5354
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Prerequisite: 36230/50300/72131/72231
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Recommended semester: 7th - 9th semester
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Scope and form: Lectures, email tutoring, group work and laboratory exercises.
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Examination: Evaluation of report and oral presentation (13-scale)
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Participant limitation: max. 30
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Remarks: Both examination groups (days) are used for the oral presentation. A half course is available on Internet (http://www.iau.dtu.dk/~jj/learn).
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Department: Department of Automation
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Aim: Fuzzy control is applied in consumer products such as washing machines, video cameras, and cars, as well as in industry for controlling for example cement kilns, underground trains, and robots. Fuzzy control is automatic control using rules, and it is based on fuzzy logic, which in short is computing with words rather than numbers. Fuzzy logic (without control) is also being applied within image processing, decision support, medical diagnosis, and in the financial sector. The course objectives are to explain the basics, to show how fuzzy logic is applied, and to teach the participants how to design a fuzzy controller. There is a link to neural networks, and the course explains what neuro-fuzzy data processing is, and it shows some applications.
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Contents: Linear controller design, Fuzzy theory, Fuzzy linear controller, Fuzzy nonlinear controller, self-organising control, Fuzzy PID control, perception, neuro-fuzzy clustering, function approximation, genetic algorithms, neuro-fuzzy control. Lab.project: idle speed control in a car engine (Matlab, Simulink). See also http://www.iau.dtu.dk/~jj/course.
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