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Mamdani-type fuzzy controllers are universal fuzzy controllers

Fuzzy Sets and Systems, 2001
The authors address a problem about universal fuzzy controllers along with a proof that Mamdani-type fuzzy controllers are universal fuzzy controllers. The system under control is described by a state-space model of the form \(dx/dt=f(x(t),u(t))\) with a general form of the state feedback law \(u(t)=g(x(t))\), ``\(f\)'' and ``\(g\)'' being functions ...
Shu-Guang Cao   +2 more
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A fuzzy approach to stability of fuzzy controllers

Fuzzy Sets and Systems, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hans Bandemer, Silvio Hartmann
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Fuzzy Control Architectures

Journal of Intelligent & Fuzzy Systems, 1994
In this article we analyze the process of executing the knowledge base (KB) of a fuzzy control system following the “Sup- * ” compositional rule of inference [Zadeh LA (1973): “Outline of a new approach to the analysis of complex systems and decision processes.” IEEE Trans. Syst.
Alberto Bugarín   +2 more
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FPGA for fuzzy controllers

IEEE Transactions on Systems, Man, and Cybernetics, 1995
Logic synthesis and hardware implementation of fuzzy controllers are introduced in this paper. The logic synthesis reduces the fuzzy controller to a set of Boolean equations. A software is specially developed for this purpose. The hardware implementation is carried out using field programmable gate arrays (FPGAs). A speed of over 50 M FLIPS is achieved.
Mahmoud A. Manzoul, D. Jayabharathi
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Fuzzy Logic Programming and Fuzzy Control

Studia Logica, 2005
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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An advanced fuzzy controller

Fuzzy Sets and Systems, 1999
A methodology for the reduction of complexity of the fuzzy if-then rules for a robust controller system is presented. An analysis of the fuzzy if-then rules is performed by viewing the fuzzy sets in the rules as crisp sets. The knowledge of the analysis is used to reduce the number of variables and the number of fuzzy if-then rules.
Rustom Mamlook   +2 more
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Fuzzy control as a fuzzy deduction system

Fuzzy Sets and Systems, 2001
The author gives a new and interesting translation strategy for linguistic control rules of the form: \textit{if} \(x\) is \(A\) \textit{then} \(y\) is \(B\). He reads them as: \( A(x) \land B(y) \to\text{ good} (x,y) \) with a new predicate \textit{good} expressing globally the control quality.
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Hierarchical Fuzzy Controllers

IFAC Proceedings Volumes, 1995
Abstract The paper presents Fuzzy Logic Controllers (FLC) with hierarchically structured rule base as nonlinear blocks used in a control system for direct control or supervision of standard controllers. Unified approach based on Fuzzy Logic Neural Networks (FLNN) is used to reveal the essential functions of a FLC.
Petr Horáček, Zdenek Binder
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FUZZY ROBOT CONTROLS

Journal of Cybernetics, 1976
Abstract A fuzzy program is defined as an ordered sequence of fuzzy instructions. In the execution of a fuzzy program, fuzzy instructions are translated into machine instructions by the use of MAX-METHOD and backtracking. To show how a fuzzy program is executed, a simulation system is exploited which controls a simple inchworm robot.
Uragami, Masato   +2 more
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Tuning of Fuzzy Controllers

2009
Various kinds of fuzzy logic controllers (FLC) have been well investigated and widely used nowadays in industry, although there are rather few literatures being useful investigated the tuning of fuzzy controllers [1-4], the tuning strategy of fuzzy controllers has not been well established.
Qing-chun Li, De-yao Shen
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