A new approach for interval type-2 by using adaptive network based fuzzy inference system
Küçük Resim Yok
Tarih
2011
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Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, adaptive network based fuzzy inference system (ANFIS) was used in control applications of different type nonlinear systems as interval type-2 fuzzy logic controller (IT-2FL). Two adaptive network based fuzzy inference systems were chosen to design type-2 fuzzy logic controllers for each control applications. Membership functions in interval type-2 fuzzy logic controllers were set as an area called footprint of uncertainty (FOU), which is limited by two membership functions of adaptive network based fuzzy inference systems; they were upper membership function (UMF) and lower membership function (LMF). The double inverted pendulum, a single flexible link and a flexible link carrying pendulum systems were used to test the performances of designed interval type-2 fuzzy logic controllers. System behaviours were defined by Lagrange formulation and MATLAB/SimMechanics computer simulations. The performances of the proposed controllers were evaluated and discussed on the basis of the simulation results. An experiment set up of flexible link carrying pendulum system was built and used to verify the performance of IT-2FL controller. © 2011 Academic Journals.
Açıklama
Anahtar Kelimeler
A single flexible link, Adaptive network based fuzzy inference system, Control, Interval type-2, Inverted pendulum, Simulation
Kaynak
International Journal of Physical Sciences
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
6
Sayı
19
