Stability analysis of nonlinear systems using high order derivatives of universal learning networks

K. Hirasawa, Y. Yu, J. Hu, Junichi Murata

研究成果: Contribution to conferencePaper査読

抄録

In this paper, a stability analysis method based on the higher order derivatives of ULNs is proposed. In the proposed method, the following are proposed. Firstly, if the absolute values of the first order derivatives of any nodes with respect to any initial disturbances approach zero at time infinity, then the trajectory is locally asymptotically stable. Secondly, the locally asymptotically stable region, where asymptotical stability is secured approximately is obtained by comparing the first order derivatives and higher order derivatives.

本文言語英語
ページ1273-1278
ページ数6
出版ステータス出版済み - 1 1 2001
イベントInternational Joint Conference on Neural Networks (IJCNN'01) - Washington, DC, 米国
継続期間: 7 15 20017 19 2001

その他

その他International Joint Conference on Neural Networks (IJCNN'01)
Country米国
CityWashington, DC
Period7/15/017/19/01

All Science Journal Classification (ASJC) codes

  • Software
  • Artificial Intelligence

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