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» Recurrent Fuzzy CMAC for Nonlinear System Modeling
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AEI
1999
110views more  AEI 1999»
14 years 9 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
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
15 years 3 months ago
Evolution of Voronoi based fuzzy recurrent controllers
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. Among the most successful methods to auto...
Carlos Kavka, Patricia Roggero, Marc Schoenauer
EUSFLAT
2009
184views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Recurrent Neural Kalman Filter Identification and Indirect Adaptive Control of a Continuous Stirred Tank Bioprocess
The aim of this paper is to propose a new Kalman Filter Recurrent Neural Network (KFRNN) topology and a recursive Levenberg-Marquardt (L-M) algorithm of its learning capable to est...
Ieroham S. Baruch, Carlos Román Mariaca Gas...
ACIIDS
2009
IEEE
159views Database» more  ACIIDS 2009»
14 years 7 months ago
Application to GA-Based Fuzzy Control for Nonlinear Systems with Uncertainty
In this study, we strive to combine the advantages of fuzzy theory, genetic algorithms (GA), H tracking control schemes, smooth control and adaptive laws to design an adaptive fuzz...
Po-Chen Chen, Ken Yeh, Cheng-Wu Chen, Chen-Yuan Ch...
TSMC
2010
14 years 4 months ago
Set-Membership Fuzzy Filtering for Nonlinear Discrete-Time Systems
This paper is concerned with the set-membership filtering (SMF) problem for discrete-time nonlinear systems. We employ the Takagi
Fuwen Yang, Yongmin Li