Results 231 to 240 of about 56,427 (265)
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1995
The paper presents fuzzy modelling as a tool for design of nonlinear controllers. An architecture and function of a fuzzy logic controller (FLC) is described. Three implementations of FLCs are recognized: look-up table, fuzzy relational and fuzzy logic-neural network based systems.
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The paper presents fuzzy modelling as a tool for design of nonlinear controllers. An architecture and function of a fuzzy logic controller (FLC) is described. Three implementations of FLCs are recognized: look-up table, fuzzy relational and fuzzy logic-neural network based systems.
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Fuzzy control of an underactuated robot with a fuzzy microcontroller
Microprocessors and Microsystems, 1999Abstract In this work the position control of a planar underactuated manipulator with two revolute joints is considered. A dynamic model of the system is presented and a fuzzy control strategy is proposed. Fuzzy logic allows empirical rules to be translated into a control algorithm.
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Fuzzy Inference and Fuzzy Control
2009The major subject of this chapter is fuzzy control, one of the most successful application areas of fuzzy set theory. Nowadays, many fuzzy products are visible in the market. Almost every fuzzy product is related to a fuzzy control problem. It is no exaggeration to say that fuzzy set theory is highly accepted partly because of the great success of ...
Xuzhu Wang, Da Ruan, Etienne E. Kerre
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Fuzzy process control: construction of control charts with fuzzy numbers
Fuzzy Sets and Systems, 2005This paper presents the construction of fuzzy control charts for a process with fuzzy outcomes derived from the subjective quality ratings provided by a group of experts. The proposed fuzzy process control (FPC) methodology comprises an off-line stage and an on-line stage.
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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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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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