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Optimization of fuzzy logic controller in the converter of a standalone solar power system using the firefly algorithm. [PDF]
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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 ...
C C Lee
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A design for a fuzzy logic controller
Information Sciences, 1988[For the entire collection see Zbl 0648.00013.] The paper deals with the problem of designing a control algorithm realized on the basis of a set of linguistic control rules. The rules express relationships between variables \(x_1,x_2,\ldots,x_ p\) of the system under control and an appropriate control action \(y\), say \[ \begin{aligned} \text{---if ...
Mikio Maeda, Shuta Murakami
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ANALYSIS OF A FUZZY LOGIC CONTROLLER
Fuzzy Sets and Systems, 1978An analysis is performed of the fuzzy logic controller which results in the identity between this controller and a multilevel relay. This tool is used in stability analysis.
Kickert, W. J. M., Mamdani, E. H.
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IEEE Micro, 1996
Researchers usually implement fuzzy inference systems in software on digital computers or microprocessors. This approach copes with most problems, however real-time systems often require very short time responses. In this case, a hardware implementation becomes the only solution.
Jonathan Noel Tombs +2 more
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Researchers usually implement fuzzy inference systems in software on digital computers or microprocessors. This approach copes with most problems, however real-time systems often require very short time responses. In this case, a hardware implementation becomes the only solution.
Jonathan Noel Tombs +2 more
openaire +1 more source
IEEE Micro, 1997
We propose an architecture dedicated mainly to medium-range applications that demand computational power combined with low cost for the resulting hardware system (chip and board). Our architecture is a 16-bit processor with dedicated instructions and hardware for efficient support of fuzzy logic.
Alessandra Costa +3 more
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We propose an architecture dedicated mainly to medium-range applications that demand computational power combined with low cost for the resulting hardware system (chip and board). Our architecture is a 16-bit processor with dedicated instructions and hardware for efficient support of fuzzy logic.
Alessandra Costa +3 more
openaire +3 more sources
Tuning of a Multivariable Fuzzy Logic Controller
Intelligent Automation & Soft Computing, 1995ABSTRACTAlthough fuzzy logic control has created lots of interest in recent years, systematic tuning methods for fuzzy logic controllers have remained uncovered. The applications presented in the literature are usually tuned by trial-and-error methods.In this article a systematic off-line method for tuning a multivariable fuzzy logic controller for an ...
Pauli Viljamaa, Heikki N. Koivo
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Towards a logic for a fuzzy logic controller
1991Fuzzy control is based on fuzzy logic [3], and the core of a fuzzy logic controller (FLC) is a set of fuzzy conditional statements related by the dual notions of fuzzy implication and the so-called compositional rule of inference[2]. However, despite of the use of the logic-related concepts of fuzzy conditional statements, fuzzy implication, and the ...
Dimiter Driankov, Hans Hellendoorn
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A Fuzzy Logic Controller for a Trafc Junction
IEEE Transactions on Systems, Man, and Cybernetics, 1977Work done on the implementation of a fuzzy logic controller in a single intersection of two one-way streets is presented. The model of the intersection is described and validated, and the use of the theory of fuzzy sets in constructing a controller based on linguistic control instructions is introduced.
Costas P. Pappis, Ebrahim H. Mamdani
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Journal of Biotechnology, 1992
This paper describes a fuzzy sets method which is very useful for handling uncertainties and essential for knowledge acquisition of a human expert. Kinetics of a reactor is often complex and not trivial to describe by mathematical equations. Reactor control by traditional control technology is therefore difficult. A novel technology is presented.
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This paper describes a fuzzy sets method which is very useful for handling uncertainties and essential for knowledge acquisition of a human expert. Kinetics of a reactor is often complex and not trivial to describe by mathematical equations. Reactor control by traditional control technology is therefore difficult. A novel technology is presented.
openaire +2 more sources

