Results 211 to 220 of about 11,723 (265)
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IEEE Transactions on Systems, Man, and Cybernetics, 1972
A fuzzy mapping from X to Y is a fuzzy set on X × Y. The concept is extended to fuzzy mappings of fuzzy sets on X to Y, fuzzy function and its inverse, fuzzy parametric functions, fuzzy observation, and control. Set theoretical relations are obtained for fuzzy mappings, fuzzy functions, and fuzzy parametric functions.
Sheldon S. L. Chang, Lotfi A. Zadeh
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A fuzzy mapping from X to Y is a fuzzy set on X × Y. The concept is extended to fuzzy mappings of fuzzy sets on X to Y, fuzzy function and its inverse, fuzzy parametric functions, fuzzy observation, and control. Set theoretical relations are obtained for fuzzy mappings, fuzzy functions, and fuzzy parametric functions.
Sheldon S. L. Chang, Lotfi A. Zadeh
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Mamdani-type fuzzy controllers are universal fuzzy controllers
Fuzzy Sets and Systems, 2001The 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, 1998zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Hans Bandemer, Silvio Hartmann
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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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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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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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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, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Fuzzy logic in control systems: fuzzy logic controller. I
IEEE Transactions on Systems, Man, and Cybernetics, 1990For pt.I see ibid., vol.20, no.2, p.404-18, 1990. The basic aspects of the FLC (fuzzy logic controller) decision-making logic are examined. Several issues, including the definitions of a fuzzy implication, compositional operators, the interpretations of the sentence connectives 'and' and 'also', and fuzzy inference mechanisms, are investigated ...
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Fuzzy control as a fuzzy deduction system
Fuzzy Sets and Systems, 2001The 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, 1995Abstract 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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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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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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