Pregled bibliografske jedinice broj: 71467
Demonstration of Self-learning Fuzzy Logic Controller Performance in the Matlab+SimulinkTM Environment
Demonstration of Self-learning Fuzzy Logic Controller Performance in the Matlab+SimulinkTM Environment // The CD-ROM Proceedings of the 8th IEEE Mediterranean Conference on Control and Automation MED`00
Patras: Institute of Electrical and Electronics Engineers (IEEE), 2000. str. TC-2.5 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Demonstration of Self-learning Fuzzy Logic Controller Performance in the Matlab+SimulinkTM Environment
Autori
Kovačić, Zdenko ; Bogdan, Stjepan ; Reichenbach, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
The CD-ROM Proceedings of the 8th IEEE Mediterranean Conference on Control and Automation MED`00
/ - Patras : Institute of Electrical and Electronics Engineers (IEEE), 2000, TC-2.5
Skup
The 8th IEEE Mediterranean Conference on Control and Automation MED`00
Mjesto i datum
Patras, Grčka, 17.07.2000. - 19.07.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Fuzzy logic control; adaptive control; servo systems
(Fuzzy logic control; adaptive control; self-learning; Matlab function block)
Sažetak
In this paper, we demonstrate a performance of a PD type self-learning fuzzy logic controller (SLFLC), which has been implemented as a function block for the very popular Matlab+Simulink environment. The SLFLC described in detail in [1] utilizes a reference model and a sensitivity model for learning of SLFLC parameters. The effectiveness of the SLFLC function block has been demonstrated on the model of a closed-loop engine speed control system provided in Matlab for demo purposes. The results show very clearly how the SLFLC brings improved performance into the selected control system example.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika