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ECTS:
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4
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Lecturers in charge:
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Prof. dr. sc.
Zdenko Kovačić
Prof. dr. sc.
Mato Baotić
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Take exam:
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Studomat
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English level:
1,0,0
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All teaching activities will be held in Croatian. However, foreign students in mixed groups will have the opportunity to attend additional office hours with the lecturer and teaching assistants in English to help master the course materials. Additionally, the lecturer will refer foreign students to the corresponding literature in English, as well as give them the possibility of taking the associated exams in English.
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Load:
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| Lecture type | Total |
| Lectures |
30 |
* Load is given in academic hour (1 academic hour = 45 minutes)
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Description:
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Automated initial setting of fuzzy controllers. Model reference adaptaive fuzzy control. Fuzzy controller sensitivity model. Automatic fuzzy controller design by self-organization. Neural network (NN) structures suitable for system modeling and control. NN learning algorithms. Application of NN in identification and modeling of complex systems. Selection of suitable NN structures and their validation. NN process model-based control structures. Application of NN for improvement of nonlinear control system performance. Concept of current NN linearization and its application to linear controller synthesis. Application of NN for compensation of system ambiguities. Synergism of NN and fuzzy logic.
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Literature:
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- Neural Networks for Optimization and Signal Processing; A. Cichocki, R. Unbehauen; John Wiley & Sons; 1993
- Neural Networks for Modelling and Control of Dynamic Systems; M. Nørgaard, O. Ravn, N. K. Poulsen, L. K. Hansen; Springer-Verlag, London; 2000
- Neural Computing - Theory and Practice; P. D. Wasserman; Van Nostrand Reinhold, New York; 1989
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3. semester
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course for
profile
Control Engineering and Automation
course for
profile
Electrical Engineering Systems and Technologies
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