自動抽出関数と遺伝的アルゴリズムを用いた非線形システムの同定

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タイトル別名
  • Identification for Nonlinear Systems by the Automatic Choosing Function and the Genetic Algorithm
  • ジドウ チュウシュツ カンスウ ト イデンテキ アルゴリズム オ モチイタ ヒ

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This paper deals with an identification method based on the automatic choosing function (ACF) for nonlinear systems. A full data region or a whole domain is divided into some subdomains and the unknown nonlinear function to be estimated is approximately described by a linear equation on each subdomain. These linear equations are united into a single one by the ACF smoothly, and thus the resulting model becomes linear in the parameters. Hence these parameters are easily evaluated by the linear least squares method. Besides the subdomains and the ACF are properly determined by the genetic algorithm which has a high potential for global optimization. Numerical experiments are carried out to demonstrate the effectiveness of the proposed method.

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