Design of nonlinear control systems by means of differential genetic programming

Joe Imae, Yoshiteru Kikuchi, Nobuyuki Ohtsuki, Tomoaki Kobayashi, Guisheng Zhai

研究成果: Conference article査読

9 被引用数 (Scopus)

抄録

Based on the genetic programming (GP), a new design method of optimal and/or robust controllers of nonlinear systems is proposed. First we introduce a new type of the genetic programming, which is so called "differential GP". The differential GP combines the conventional GP with an automatic differentiation scheme, so that it can solve Hamilton-Jacobi-Bellman (HJB)/Hamilton-Jacobi-Isaacs (HJI) / Francis - Byrnes - Isidori (FBI) equations. Our design method is mainly based on the differential GP technique, and so it gives us a new possibility of the HJB/HJI/FBI based design techniques. Lastly, the effectiveness of the differential GP based design method is demonstrated through some design examples of nonlinear systems.

本文言語English
論文番号WeC13.4
ページ(範囲)2734-2739
ページ数6
ジャーナルProceedings of the IEEE Conference on Decision and Control
3
DOI
出版ステータスPublished - 2004
外部発表はい
イベント2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas
継続期間: 2004 12月 142004 12月 17

ASJC Scopus subject areas

  • 制御およびシステム工学
  • モデリングとシミュレーション
  • 制御と最適化

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