A Stable Controller Design with Fuzzy Rules in Accordance with Experts' Knowledge

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概要

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• Although innumerable research has challenged the design of fuzzy control systems from the standpoint of stability, most of them are just considering the fuzzy rules as an approximator to deal with the unknown functions in the plant to be controlled. Also, the fuzzy rules are changed completely from their origins which are obtained based on the views of experts after the parameters in the fuzzy rules are tuned. Actually, the primary idea of fuzzy control is to employ the knowledge of experts to control a plant instead of the algorithm extracted from the mathematical model of the plant. Clearly, if the original fuzzy rules are changed at all, what is the point of fuzzy control? In this paper, we consider a few cases to show how to develop a stable control system which persistently maintains the fuzzy rules in accordance with experts' views. Also, computer simulations will support the approach appeared in this paper.

• 日本知能情報ファジィ学会の論文
• 2004-04-15

著者

• Murakami Shuta

  Faculty Of Engineering Kyushu Institute Of Technology

• HAN Hugang

  School of Business, Hiroshima Prefectural University

• KAWABATA Hiroko

  Faculty of Economics, Daiichi Keizai University

• Kawabata Hiroko

  Faculty Of Economics Daiichi Keizai University

• Han H

  Hiroshima Pref. Univ. Hiroshima Jpn

• Han Hugang

  School Of Business Hiroshima Prefectural University

関連論文

• A Stable Controller Design with Fuzzy Rules in Accordance with Experts' Knowledge
• Adaptive Fuzzy Controller for a Class of Nonlinear Systems Using Tunable Triangular Membership Functions
• Predictive Control for a Class of Nonlinear Systems Using Fuzzy Logic
• New Results on Adaptive Control of a Class of Nonlinear Systems with Fuzzy Logic
• A Design of Discrete-Time Adaptive Fuzzy Control System
• Adaptive Fuzzy Control of Nonlinear Systems with Sigmoidal Membership Functions

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