Results 201 to 210 of about 11,723 (265)

An advanced fuzzy controller

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, Wiley E Thompson
exaly   +2 more sources

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

Automation and Remote Control, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Stanislav Nikolaevich Vassilyev   +6 more
openaire   +1 more source

FUZZY SENSORS FOR FUZZY CONTROL

International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 1994
This paper introduces sensors employing a fuzzy numeric to symbolic interface. The fundamental design considerations for this kind of fuzzy symbolic sensor, or fuzzy sensor, are formally presented. Then, the use of these components for fuzzy control is discussed and illustrated.
Laurent Foulloy, Sylvie Galichet
openaire   +2 more sources

Fuzzy control with fuzzy inputs

IEEE Transactions on Fuzzy Systems, 2003
This paper is concerned with the use of fuzzy inputs in fuzzy logic controllers. A precise representation of fuzzy logic controllers by means of mappings is used to introduce different ways for dealing with fuzzy inputs. Two types of fuzzy inputs are presented and their potential use in fuzzy control is discussed.
Laurent Foulloy, Sylvie Galichet
openaire   +2 more sources

A New Fuzzy PID Control System Based on Fuzzy PID Controller and Fuzzy Control Process

International Journal of Fuzzy Systems, 2020
In 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
openaire   +1 more source

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.
Madan M. Gupta   +2 more
openaire   +1 more source

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
openaire   +2 more sources

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