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[30762] Artykuł: On some idea of a neuro-fuzzy controllerCzasopismo: Information Sciences (North-Holland, Elsevier Science Inc.) Tom: 120, Zeszyt: 1-4, Strony: 69-87ISSN: 0020-0255 Wydawca: ELSEVIER SCIENCE INC, 655 AVENUE OF THE AMERICAS, NEW YORK, NY 10010 USA Opublikowano: Listopad 1999 Autorzy / Redaktorzy / Twórcy
Grupa MNiSW: Publikacja w czasopismach wymienionych w wykazie ministra MNiSzW (część A) Punkty MNiSW: 0 Klasyfikacja Web of Science: Article Pełny tekst DOI Web of Science YADDA/CEON Keywords: Fuzzy controllers  Neuro-fuzzy controllers  Intelligent controllers  Fuzzy models  Electric vehicles  |
The paper presents a neuro-fuzzy technique for the design of controllers. This technique can effectively deal with two main types of knowledge which usually describe the control strategy for complex systems, that is, a qualitative, linguistic, fuzzy knowledge usually expressed in the form of linguistic rules, and a quantitative, nonfuzzy information in the form of measurements and other numerical data. The proposed technique combines artificial neural networks with fuzzy logic yielding a structure that can be called a neuro-fuzzy controller or, broadly speaking, a fuzzy neural network. The paper presents a general structure of a neuro-fuzzy controller and two essential phases of its design, that is, a learning phase and a functioning phase. In turn, a numerical example which illustrates how the proposed controller works is presented. Finally, the paper describes an application of a neuro-fuzzy control to inverter drive systems for electric vehicles. The results of simulation and experimental investigations carried out on the laboratory model of an inverter drive system are also provided.