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» Backlash compensation of nonlinear systems using fuzzy logic
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EUSFLAT
2001
127views Fuzzy Logic» more  EUSFLAT 2001»
13 years 6 months ago
Validation of the control quality of characteristic field based fuzzy controllers
Rule based systems for Fuzzy Control, Fuzzy Supervising and Fuzzy Diagnosis are non-linear multi-input, multi-output systems. The result of the signal processing within the system...
Rainer Hampel, Nasredin Chaker
IFSA
2003
Springer
89views Fuzzy Logic» more  IFSA 2003»
13 years 10 months ago
Lattice Fuzzy Signal Operators and Generalized Image Gradients
In this paper we use concepts from the lattice-based theory of morphological operators and fuzzy sets to develop generalized lattice image operators that are nonlinear convolutions...
Petros Maragos, Vassilis Tzouvaras, Giorgos B. Sta...
EUSFLAT
2009
156views Fuzzy Logic» more  EUSFLAT 2009»
13 years 3 months ago
Interactive Fuzzy Modeling by Evolutionary Multiobjective Optimization with User Preference
One of the new trends in genetic fuzzy systems (GFS) is the use of evolutionary multiobjective optimization (EMO) algorithms. This is because EMO algorithms can easily handle two c...
Yusuke Nojima, Hisao Ishibuchi
AEI
1999
110views more  AEI 1999»
13 years 5 months ago
Self-tuning fuzzy controller design using genetic optimisation and neural network modelling
This article describes a new adaptive fuzzy logic control scheme. The proposed scheme is based on the structure of the self-tuning regulator and employs neural network and genetic...
Duc Truong Pham, Dervis Karaboga
FSS
2007
102views more  FSS 2007»
13 years 5 months ago
Extraction of fuzzy rules from support vector machines
The relationship between support vector machines (SVMs) and Takagi–Sugeno–Kang (TSK) fuzzy systems is shown. An exact representation of SVMs as TSK fuzzy systems is given for ...
Juan Luis Castro, L. D. Flores-Hidalgo, Carlos Jav...