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CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 8 months ago
An approach for the state estimation of Takagi-Sugeno models and application to sensor fault diagnosis
— In this paper, a new method to design an observer for nonlinear systems described by Takagi-Sugeno (TS) model, with unmeasurable premise variables, is proposed. Most of existin...
Dalil Ichalal, Benoît Marx, José Rago...
FUZZIEEE
2007
IEEE
13 years 9 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou
IJSYSC
2000
67views more  IJSYSC 2000»
13 years 5 months ago
Incorporating prior knowledge in fuzzy model identification
This paper presents an algorithm for incorporating a priori knowledge into data-driven identification of dynamic fuzzy models of the Takagi-Sugeno type. Knowledge about the modell...
János Abonyi, Robert Babuska, Henk B. Verbr...
CIMCA
2006
IEEE
13 years 11 months ago
Direct Adaptive Fuzzy Control with Less Restrictions on the Control Gain
: In the adaptive fuzzy control field for affine nonlinear systems, there are two basic configurations: direct and indirect. It is well known that the direct configuration needs mo...
Phi Anh Phan, Timothy J. Gale