Results 211 to 220 of about 56,427 (265)
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Journal of Bioscience and Bioengineering, 2000
Bioprocesses have been operated according to the judgment of experts who are skilled operators and have long experience. In almost all cases, these experiences are described by linguistic IF-THEN rules. Fuzzy inference is one of the powerful tools to incorporate linguistic rules into computational algorithms for application to process control.
H, Honda, T, Kobayashi
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Bioprocesses have been operated according to the judgment of experts who are skilled operators and have long experience. In almost all cases, these experiences are described by linguistic IF-THEN rules. Fuzzy inference is one of the powerful tools to incorporate linguistic rules into computational algorithms for application to process control.
H, Honda, T, Kobayashi
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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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Fuzzy Logic Programming and Fuzzy Control
Studia Logica, 2005zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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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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Journal of Intelligent & Fuzzy Systems, 1994
In this article, we propose a multicriteria fuzzy control (MFC) based on fuzzy measures and fuzzy integrals. The basic idea underlying this approach is based on analyzing the source of attributes of the system output response and applying the fuzzy measure and integral theory to the existing fuzzy control.
Kwang-Choon Kim, Jong-Hwan Kim
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In this article, we propose a multicriteria fuzzy control (MFC) based on fuzzy measures and fuzzy integrals. The basic idea underlying this approach is based on analyzing the source of attributes of the system output response and applying the fuzzy measure and integral theory to the existing fuzzy control.
Kwang-Choon Kim, Jong-Hwan Kim
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2004
The fuzzy controllers could be broadly used in control processes thanks to their good performance, one disadvantage is the problem of fuzzy controllers tuning, this implies the handling of a great quantity of variables like: the ranges of the membership functions, the shape of this functions, the percentage of overlap among the functions, the number of
Eduardo Gómez-Ramírez +1 more
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The fuzzy controllers could be broadly used in control processes thanks to their good performance, one disadvantage is the problem of fuzzy controllers tuning, this implies the handling of a great quantity of variables like: the ranges of the membership functions, the shape of this functions, the percentage of overlap among the functions, the number of
Eduardo Gómez-Ramírez +1 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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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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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
openaire +1 more source