The paper deals with utilization of fuzzy logic for simulationmodel parameter, which is changed during simulation experiment.Additive fuzzy system is used for approximation ofcontinuous functions, whereas the relevant membership functionsare based on ellipsoidal rules. Application of that methodologyis demonstrated on the parameter adaptation relatedto simulation model of an asynchronous machine. The mentionedadaptation depends on the changing magnetic properties.
Jura, P. Zdk/ady fuzzy logiky pro fizeni a modelovan£,
Brno: VUTIUM, 2003. 132 s. ISBN 80-214-2261-0
Ki'iry, 1., Kindler, E.: Simulace a modelovdni, Ostravska
univerzita 2001
Mls, K. Od pravidlove FCM k numericke- od percepce
ke kognic [on! ine ]. Hradec Kralove: U niverzi ta Hradec
Kralove, Fakulta informatiky a managementu, [cit.
-12-10]. Dostupne na Internetu:
kuzv-mls.pdf>. Fuzzy Logic Toolbox User's Guide, The MathWorks, Inc., [online], 2005 [cit. 2005-12-05]. Dostupne na lntcrnetu: pdf_ doc/fuzzy/fuzzy. pdf>. Stnldal, 0.: Adaptace parametru simulacnflw modelu pomoci neuronove site GRNN, Sbornfk pffspevku MOSIS '05, Ostrava 2005, ISBN 80-86840-10-7
Guest Editor: Eleonora Papadimitriou, PhD
Editors: Dario Babić, PhD; Marko Matulin, PhD; Marko Ševrović, PhD.
The mission of our journal is to provide high quality communication of research results, which is crucial for the effectiveness of scientific research, the promotion of scientific information, new ideas, and original research in the field of traffic and transportation engineering.
1848-4069
0353-5320
Proud publisher
Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal
