Module label | Fuzzy Control and Artificial Neural Networks in Robotics and Automation |
Modulkürzel | inf303 |
Credit points | 6.0 KP |
Workload | 180 h |
Institute directory | Department of Computing Science |
Verwendbarkeit des Moduls |
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Zuständige Personen |
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Prerequisites | No participant requirements |
Skills to be acquired in this module | Experts in different branches try to approach their application-specific control and information processing problems by using fuzzy logic and artificial neural networks (ANN). The experiences gathered up to now prove robotics and automation technology to be predestined fields of application of both these approaches. The major topics of the course are control problems in robotics and automation technology, principles of fuzzy logic and ANN and their practical appplications, comparison of conventional and advanced control methods, combination of fuzzy logic and ANN in control systems. The course gives a comprehensive treatment of these advanced approaches for interested students. Professional competence The students:
The students:
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Module contents |
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Literaturempfehlungen | Essentiell:
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Languages of instruction | English, German |
Duration (semesters) | 1 Semester |
Module frequency | annual |
Module capacity | unlimited |
Modullevel / module level | |
Modulart / typ of module | |
Lehr-/Lernform / Teaching/Learning method | 1VL + 1Ü |
Vorkenntnisse / Previous knowledge | Kenntnisse in Regelungstechnik |
Form of instruction | Comment | SWS | Frequency | Workload of compulsory attendance |
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Lecture | 3 | SoSe | 42 | |
Exercises | 1 | SoSe | 14 | |
Präsenzzeit Modul insgesamt | 56 h |
Examination | Prüfungszeiten | Type of examination |
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Final exam of module | At the end of the lecture period until the beginning of the next semester |
Hands-on-exercises and oral Exam |