Analytical structure of the typical fuzzy controllers employing trapezoidal input fuzzy sets and nonlinear control rules

Authors:
Hao Ying
Affiliations:
-
Venue:
Information Sciences: an International Journal
Year:
1999

Citing 19
Cited 2

Fuzzy controller theory: limit theorems for linear fuzzy control rules

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Fuzzy control theory: The linear case

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Linear fuzzy controller: it is a linear nonfuzzy controller

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Fuzzy controller: further limit theorems for linear control rules

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Fuzzy control theory: a nonlinear case

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Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence

Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Pad-analysis of fuzzy control stability

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Fuzzy control rules and their natural laws

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Nonlinear fuzzy controller

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Fuzzy controllers: lifting the linear-nonlinear frontier

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A nonlinear fuzzy controller with linear control rules is the sum of a global two-dimensional multilevel relay and a local nonlinear proportional-integral controller

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General analytical structure of typical fuzzy controllers and their limiting structure theorems

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Studies on the output of fuzzy controller with multiple inputs

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The simplest fuzzy controllers using different inference methods are different nonlinear proportional-integral controllers with variable gains

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Analytical structure of a two-input two-output fuzzy controller and its relation to PI and multilevel relay controllers

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Sufficient conditions on general fuzzy systems as function approximators

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Practical design of nonlinear fuzzy controllers with stability analysis for regulating processes with unknown mathematical models

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Analytical structure of a fuzzy controller with linear control rules

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New design and stability analysis of fuzzy proportional-derivative control systems

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Expert system based controller for the high-accuracy automatic assembly of vehicle headlamps

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A general technique for deriving analytical structure of fuzzy controllers using arbitrary trapezoidal input fuzzy sets and Zadeh AND operator

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Abstract

In a passive information processing system a stimulus input gives information, whichis transduced by receptors into trains of impulses that signify the features of an object. The symbols are processed according to rules for learning and association and ...