• Title/Summary/Keyword: FARMA(Fuzzy Auto-regressive Moving Average) Controller

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Hybrid Fuzzy Control Systems with Look-Up Table for Good Performance (성능개선을 위한 룩업테이블 하이브리드 퍼지제어 시스템)

  • Lee, Pyeong-Gi
    • Journal of the Korean Society of Industry Convergence
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    • v.19 no.3
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    • pp.101-108
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    • 2016
  • I propose a hybrid fuzzy controller with a look-up table to improve the performance of the FARMA(Fuzzy Auto-regressive Moving Average) fuzzy controller. The hybrid structure of the proposed method is composed of a fuzzy controller with a look-up table of the PD type and the FARMA fuzzy controller. The proposed method improves poor performance due to the lack of I/O data to calculate predictive output and shows robust performance over the FARMA fuzzy controller when a incorrect Dmax value is selected by trial and error. I executed some computer simulations on the regulation problem of an inverted pendulum system and compared the results with those of the FARMA fuzzy controller.

A Self-Organizing Fuzzy Logic Controller with a Performance Evaluation Level (성능평가 계층이 있는 자기구성 퍼지제어기)

  • 김동현;이평기;전기준
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.2
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    • pp.21-34
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    • 1998
  • [n this paper, we propose a hierarchical self-organizing fuzzy logic controller to improve the performance of the FARMA(Fuzzy auto-regressive moving average) SOC(Self-organizing fuzzy logic controller) when the system parameters change. The proposed controller contains the FARMA SC)C in the lower level and has a coordinator in the higher level, which evaluates convergence. and when it senses the degradation of system performance it compensates the control input by a look-up table. The proposed controller shows good perforniance over the FARMA SOC when the system parameters change. We executed some computer simulations on the regulation problem of an inlrerted pendulum system and compared the results with those of the FARMA SOC. As a result, it ha:; been shown that the proposed controller outperformed the FARMA SOC when the changes of the system parameters occurred.

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