Results 241 to 250 of about 483,745 (288)

Intelligent Control Systems and Fuzzy Controllers. II. Trained Fuzzy Controllers, Fuzzy PID Controllers

Automation and Remote Control, 2020
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Vassilyev, S. N., Kudinov, Yu. I., Pashchenko, F. F., Durgaryan, I. S., Kelina, A. Yu., Kudinov, I. Yu., Pashchenko, A. F.   +6 more
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Hierarchical Fuzzy Controllers

IFAC Proceedings Volumes, 1995
Abstract 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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FUZZY ROBOT CONTROLS

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, Mizumoto, Masaharu, Tanaka, Kokichi   +2 more
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Fuzzy control of bioprocess

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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Controllability of Fuzzy Control Systems

IEEE Transactions on Systems, Man, and Cybernetics, 1986
Controllability 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.
Gupta, Madan M., Trojan, George M., Kiszka, Jerzy B.   +2 more
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Fuzzy-PID controllers vs. fuzzy-PI controllers

Proceedings of IEEE 5th International Fuzzy Systems, 2002
The synthesis of a control system includes both the controller selection and the adjustment of its parameters. In some cases, the type of controller might be more complex or more general, like PID instead PI or PD, to improve the control system performance. In all cases, the tuning problem must be satisfactorily solved. On the other hand, fuzzy control
M. Santos, S. Dormido, J.M. de la Cruz
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Fuzzy Logic Programming and Fuzzy Control

Studia Logica, 2005
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Fuzzy logic in control systems: fuzzy logic controller. I

IEEE Transactions on Systems, Man, and Cybernetics, 1990
For 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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Keep Fuzzy Controllers Fuzzy

1995
In this paper we argue that fuzzy controllers should be looked at as fuzzy valued mappings rather than crisp valued mappings. As a result using an explicit interpolation method as an inference mechanism becomes more natural than applying fuzzy reasoning.
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Fuzzy Control

1996
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