Results 221 to 230 of about 56,427 (265)
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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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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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Defuzzification in Fuzzy Controllers
Journal of Intelligent & Fuzzy Systems, 1993An important subject in fuzzy control theory is tuning of a fuzzy controller. If one wants to tune a fuzzy controller, one can focus on the choice of rules, membership functions, number of input and output fuzzy sets and their degree of overlapping, implication, and connection operations, and defuzzification method.
Hans Hellendoorn, Christoph Thomas
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Automatica, 1992
A collection b of fuzzy controllers is a universal fuzzy controller if and only if given any controllable process P it can also be controlled by some fuzzy controller in b. This paper identifies a new type of universal fuzzy controller.
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A collection b of fuzzy controllers is a universal fuzzy controller if and only if given any controllable process P it can also be controlled by some fuzzy controller in b. This paper identifies a new type of universal fuzzy controller.
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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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About simple fuzzy control and fuzzy control based on fuzzy relational equations
Fuzzy Sets and Systems, 1999Abstract The paper discusses fuzzy controllers based on fuzzy relational equations in the case when fuzzy controllers' inputs are exact. Godelian implication and minimum function as t-norm are considered. Fuzzy relational equation with sup-t composition results in plausible control and adjoint equation results in the simple fuzzy control (min-max ...
Vladimir Pavlica, Dusan Petrovacki
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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.
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Stability and the fuzzy controller
Fuzzy Sets and Systems, 1996The paper is devoted to the problem of stability of a single input-single output systems \(P\) put in a closed loop with a controller \((F)\). The main result states that if a system \((P,F)\) is stable then it is also stable for a number of elementary fuzzy controllers (FC) (including such commonly used as the Sugeno and Mamdani controller).
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Fuzzy Components for Fuzzy Control
IFAC Proceedings Volumes, 1994Abstract Fuzzy components are characterized by their ability to handle fuzzy symbolic information. This paper presents their use in fuzzy control. First, we present a general typology of fuzzy controllers. Fuzzy components like fuzzy sensors, fuzzy actuators and fuzzy inference components are then defined. The use of fuzzy components in fuzzy control
L. Foulloy, S. Galichet, J.F. Josserand
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Information Sciences, 1992
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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