A new control method of nonlinear systems based on impulse responses of universal learning networks

Kotaro Hirasawa*, Jinglu Hu, Junichi Murata, Chunzhi Jin

*この研究の対応する著者

研究成果: Article査読

4 被引用数 (Scopus)

抄録

A new control method of nonlinear dynamic systems is proposed based on the impulse responses of universal learning networks (ULNs). ULNs form a superset of neural networks. They consist of a number of interconnected nodes where the nodes may have any continuously differentiable nonlinear functions in them and each pair of nodes can be connected by multiple branches with arbitrary time delays. A generalized learning algorithm is derived for the ULNs, in which both the first order derivatives (gradients) and the higher order derivatives are incorporated. One of the distinguished features of the proposed control method is that the impulse response of the systems is considered as an extended part of the criterion function and it can be calculated by using the higher order derivatives of ULNs. By using the impulse response as the criterion function, nonlinear dynamics with not only quick response but also quick damping and small steady state error can be more easily obtained than the conventional nonlinear control systems with quadratic form criterion functions of state and control variables.

本文言語English
ページ(範囲)362-372
ページ数11
ジャーナルIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
31
3
DOI
出版ステータスPublished - 2001 6月
外部発表はい

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ソフトウェア
  • 情報システム
  • 人間とコンピュータの相互作用
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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