Struktura obiektu

Autor:

Nelles, Oliver ; Fink, Alexander ; Babuška, Robert ; Setnes, Magne

Współtwórca:

Rutkowska, Danuta - ed. ; Zadeh, Lotfi A. - ed.

Tytuł:

Comparison of two construction algorithms for Takagi-Sugeno fuzzy models

Podtytuł:

Neuro-Fuzzy and Soft Computing

Tytuł publikacji grupowej:

AMCS, volume 10 (2000)

Temat i słowa kluczowe:

modeling ; identification ; Takagi-Sugeno fuzzy models ; local linear models ; turbocharger

Abstract:

This paper compares two different approaches to the construction of Takagi-Sugeno fuzzy models from data. These models approximate nonlinear systems by means of interpolation between local linear models. The main issue in the construction of Takagi-Sugeno models is the decomposition of the operating space into validity regions for the local models. ; The way this decomposition is done influences the complexity, accuracy and transparency of the obtained model. The first of the presented methods, the local linear model tree (LOLIMOT) algorithm generates incrementally the fuzzy model by axis-orthogonal decomposition of the input space. In the other method, product-space fuzzy clustering (the Gustafson-Kessel algorithm) is used to partition the available data into fuzzy subsets. ; The fundamental advantages and drawbacks of both the alternative strategies are pointed out. Their properties and real-world applicability are illustrated by building a dynamic model of a truck Diesel engine turbocharger.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Data wydania:

2000

Typ zasobu:

artykuł

Strony:

835-855

Źródło:

AMCS, volume 10, number 4 (2000) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego