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Journal ArticleDOI

Generating rules for fuzzy logic controllers by functions

X.-T. Peng
- 01 May 1990 - 
- Vol. 36, Iss: 1, pp 83-89
TLDR
This paper introduces a method of generating control rules for fuzzy logic controllers, called parametric functions method, which can obtain control rules by adjusting several parameters.
About
This article is published in Fuzzy Sets and Systems.The article was published on 1990-05-01. It has received 45 citations till now. The article focuses on the topics: Fuzzy logic & Fuzzy associative matrix.

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Citations
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Journal ArticleDOI

A PID type fuzzy controller with self-tuning scaling factors

TL;DR: Simulation of the PID type fuzzy controller with the self-tuning scaling factors shows a better performance in the transient and steady state response.
Journal ArticleDOI

Fuzzy controllers: synthesis and equivalences

TL;DR: The aim of this paper is to show how to automatically build this fuzzy controller, and the proposed design methodology is detailed for the synthesis of a Sugeno or Mamdani type fuzzy controller precisely equivalent to a given PI controller.
Journal ArticleDOI

Sum normal optimization of fuzzy membership functions

TL;DR: The sum normal constraint is applied in this paper to both gradient descent optimization and Kalman filter optimization of fuzzy membership functions.
Journal ArticleDOI

A heuristic self-tuning fuzzy controller

TL;DR: A self-tuning fuzzy controller based on the tuning of scaling factors is presented and results with a perturbed servo and the inverted pendulum system as the controlled plants show the performance and adaptivity of the proposed controller.
Journal ArticleDOI

Self-generating rule-mapping fuzzy controller design using a genetic algorithm

TL;DR: A genetic algorithm (GA) based method is proposed to design a self-generating rule-mapping fuzzy controller based on the concept of a template rule base based on an individual constructed to represent a fuzzy controller.
References
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Journal ArticleDOI

An Experiment in Linguistic Synthesis with a Fuzzy Logic Controller

TL;DR: Fuzzy logic is used to convert heuristic control rules stated by a human operator into an automatic control strategy, and the control strategy set up linguistically proved to be far better than expected in its own right.
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Paper: A linguistic self-organizing process controller

TL;DR: A heuristic controller for dynamic processes is presented in this paper whose control policy is able to develop and improve automatically and find an application in those complex systems which have been too difficult to control or which in the past have had to rely on the experience of a human operator.
Journal ArticleDOI

Theoretical and linguistic aspects of the fuzzy logic controller

TL;DR: The so-called linguistic models that arise from this notation are shown to be extremely useful for modelling highly nonlinear low-order systems and for determining, explicitly, the rules of 'optimal' fuzzy logic controllers.