Predictive Control for a Class of Nonlinear Systems Using Fuzzy Logic

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概要

• 論文の詳細を見る

• The goal of this paper is to design a controller for a class of nonlinear systems with delay time using fuzzy logic. The control scheme considered in this paper is the integration of two components. One is called fuzzy component, which mainly consists of so-called fuzzy approximator to approximate the unknown functions in the process. The other one is called sliding control component of the variable structure control with a sector to guarantee the global stability of the closed-loop system when a variable, involving the tracking error, travels the outside of the sector. The adaptive laws to adjust parameters in the system will be developed based on Lyapunov synthesis approach. It is shown the proposed predictive controller guarantees tracking error, between outputs of considered system and desired values, to be asymptotically in decay.

• 日本知能情報ファジィ学会の論文
• 2001-08-15

著者

• Su Chun-yi

  Dept.of Mechanical Engineering Concordia University

• Murakami S

  Dept.of Computer Science Kyusyu Institute Of Technology

• HAN Hugang

  School of Business, Hiroshima Prefectural University

• Han Hugang

  Dept.of Management and Information Sciences, Hiroshima Prefectural University

• MURAKAMI Shuta

  Dept.of Computer Science, Kyusyu Institute of Technology

• Han H

  Hiroshima Pref. Univ. Hiroshima Jpn

• Han Hugang

  Dept. Of Management And Info. Sci. Hiroshima Pref. University

関連論文

• Adaptive Controller for T-S Fuzzy Model with Reconstruction Error
• A Stable Controller Design with Fuzzy Rules in Accordance with Experts' Knowledge
• 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
• Asymptotically Stable Fuzzy Control System with Modeling Error
• Fuzzy Control Scheme for a Class of MIMO Systems with Uncertainties

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