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|b hrv
|c HR-ZaFER
|e ppiak
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|a Piskač, Marin
|9 40386
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| 245 |
1 |
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|a Implementacija bloka samoučećeg neizrazitog algoritma za Matlab :
|b završni rad /
|c Marin Piskač ; [mentor Zdenko Kovačić].
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1 |
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|a Implementation of Self-learning Fuzzy Control Algorithm Block for Matlab
|i Naslov na engleskom:
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| 260 |
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|a Zagreb,
|b M. Piskač,
|c 2019.
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| 300 |
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|a 35 str. ;
|c 30 cm +
|e CD-ROM
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| 502 |
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|b preddiplomski studij
|c Fakultet elektrotehnike i računarstva u Zagrebu
|g smjer: Računarska znanost, šifra smjera: 41, datum predaje: 2018-06-15, datum završetka: 2019-09-04
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| 520 |
3 |
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|a Sažetak na hrvatskom: Ovaj rad opisuje način rada neizrazitih regulatora, njihove razlike naspram konvencionalnih regulatora, te njihove prednosti i mane. Također se opisuje samoučeći neizraziti regulator temeljen na modelu osjetljivosti. Istražuje greške u MATLAB modelu regulatora i sustava sa SNR izazvane promjenama kroz nekoliko verzija MATLAB-a te opisuje rješavanje tih grešaka.
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| 520 |
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|a Sažetak na engleskom: This thesis describes functioning principle of fuzzy logic controllers, their differences in regards to conventional controllers, and their advantages and disadvantages. It also describes the Self-Learning Fuzzy Logic Controller based on a sensitivity model. The thesis investigates errors in the MATLAB model of the controller and a system using SLFLC, that are caused by changes through different MATLAB versions and gives a solution to those errors.
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| 653 |
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1 |
|a regulatori, teorija upravljanja, neizrazita logika, neizraziti regulatori, samoučeći regulator, samoučeći neizraziti regulator, model osjetljivosti, MATLAB
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| 653 |
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1 |
|a controllers, control theory, fuzzy logic, fuzzy logic controllers, self-learning controllers, self-learning fuzzy logic controller, sensitivity model, MATLAB
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| 700 |
1 |
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|a Kovačić, Zdenko
|4 ths
|9 9622
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| 942 |
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|c Z
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| 999 |
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|c 51112
|d 51112
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