Results 241 to 250 of about 211,741 (300)
Fuzzy logic based nonlinear blending hybrid control of a kestrel-inspired ornithopter operating in sinusoidal and dryden gusts. [PDF]
Sci RepAbbasi SH +3 more
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A fuzzy-microeconomics model for priority-based content centric routing in internet of things. [PDF]
Sci RepXu J, Chen Q.
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An intelligent framework combining deep learning and fuzzy logic for accurate remote language translation. [PDF]
Sci RepGeng C.
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Virtual parking path planning in narrow roads based on fuzzy pure pursuit algorithm. [PDF]
PLoS OneMen Q +5 more
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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.
OLIVIERI, Mauro +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.
OLIVIERI, Mauro +3 more
openaire +2 more sources
1999
Tutorials - an overview of fuzzy modelling and model-based fuzzy control, R. Babuska fuzzy control - from heuristic PID to optimization-based nonlinear control, K.-E. Arzen and M. Johansson surveys on advanced methodologies - neuro-fuzzy methods, D. Nauck complexity reduction methods for fuzzy systems design, M.
Henk B Verbruggen, Robert Babuška
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Tutorials - an overview of fuzzy modelling and model-based fuzzy control, R. Babuska fuzzy control - from heuristic PID to optimization-based nonlinear control, K.-E. Arzen and M. Johansson surveys on advanced methodologies - neuro-fuzzy methods, D. Nauck complexity reduction methods for fuzzy systems design, M.
Henk B Verbruggen, Robert Babuška
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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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Microelectronics Journal, 1995
Fuzzy logic is increasingly being incorporated in systems to provide robust and effective control in a wide range of applications. The method is based on a many-valued logic which enables general principles and expert knowledge to be used to provide control rules and procedures.
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Fuzzy logic is increasingly being incorporated in systems to provide robust and effective control in a wide range of applications. The method is based on a many-valued logic which enables general principles and expert knowledge to be used to provide control rules and procedures.
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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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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