Minimax control of nonlinear systems using Universal Learning Networks

Hongping Chen, Kotaro Hirasawa, Jinglu Hu, Junichi Murata

研究成果査読

抄録

A Minimax robust control method is proposed for nonlinear systems based on the use of the higher order derivatives calculation of Universal Learning Networks (ULNs). An extended criterion function containing sensitivity terms is considered for controller design and the criterion function is evaluated at several specific operating points corresponding to certain system parameters. The ULNs learning is then performed in such a way that, at each step, it minimizes the worst criterion function among several operating points. It is found that the proposed control method is less time-consuming in the ULNs learning and obtained controller has better performance than the conventional methods.

本文言語English
ページ(範囲)51-56
ページ数6
ジャーナルResearch Reports on Information Science and Electrical Engineering of Kyushu University
5
1
出版ステータスPublished - 2000 3 1
外部発表はい

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)
  • 電子工学および電気工学

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