Results 161 to 170 of about 44,178 (218)
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A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process
International Journal of Fuzzy Systems, 2020In this paper, we present a fuzzy PID control system as a combination of a fuzzy PID controller and a fuzzy control process, which is represented by a fuzzy control differential equation in linear form. We use the concepts of the generalized Hukuhara differentiability and the fuzzy integral of fuzzy-valued functions to study some qualitative properties
Nguyen Dinh Phu +3 more
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Controllability of Fuzzy Control Systems
IEEE Transactions on Systems, Man, and Cybernetics, 1986Controllability properties of fuzzy dynamic systems are presented using graph representation. The indices of stability and controllability are introduced. A necessary condition for controllability is formulated. An algorithm for finding acceptable controls, based on a Lyapunov-like approach, is presented. A numerical example is given.
Madan M. Gupta +2 more
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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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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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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 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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