Pregled bibliografske jedinice broj: 1200130
Optimization of membership functions of Sugeno- Takagi fuzzy logic controllers with two inputs and one output using genetic algorithms
Optimization of membership functions of Sugeno- Takagi fuzzy logic controllers with two inputs and one output using genetic algorithms // International Symposium on Telecommunications (BIHTEL)
Sarajevo, Bosna i Hercegovina: Institute of Electrical and Electronics Engineers (IEEE), 2014. str. 1-6 doi:10.1109/bihtel.2014.6987656 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1200130 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Optimization of membership functions of Sugeno-
Takagi fuzzy logic controllers with two inputs and
one output using genetic algorithms
Autori
Kapetanovic, Nadir ; Osmic, Nedim ; Konjicija, Samim
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Skup
International Symposium on Telecommunications (BIHTEL)
Mjesto i datum
Sarajevo, Bosna i Hercegovina, 27.10.2014. - 29.10.2014
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
DC motors ; Optimization ; Biological cells ; Encoding ; Genetic algorithms ; Fuzzy sets ; Fuzzy logic
Sažetak
It is well known that the process of tuning a fuzzy logic controller is almost always a very complex task, which is time consuming, very laborious and often requires expert knowledge of the controlled system. Mapping of fuzzy logic controller's parameters (rule base and membership functions of input(s) and output(s)) into a performance measure in a closed analytical form is near impossible to get, and thus the use of any classical optimization method is automatically ruled out. Knowing this, genetic algorithms with a fitness function in a form of cumulative response error represent a good choice of the optimization method. This approach enables the use of offline optimization of membership functions' parameters (which are being coded into chromosomes). Sugeno- Takagi fuzzy logic controllers with a proportional and a derivative component, and also with a fixed rule base are used in this approach. Experimental results of both simulations and validations on real systems are given in this paper and they show the good performance of this approach.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
