ファジィ評価と2次微分を考慮した一般化学習ネットワークによるロバスト制御方式

DOI Web Site

書誌事項

タイトル別名
  • Robust Control for Universal Learning Network Considering Fuzzy Criterion and Second Order Derivatives

抄録

Control systems using neural networks have been used recently in many fields, but some problems remain to be solved. One of the problems which should be overcome is to enhance the robustness of the neural networks control systems. In this paper, a new robust control method is proposed, which is based on the second order derivatives of Universal Learning Network and fuzzy criterion function.

収録刊行物

キーワード

詳細情報 詳細情報について

問題の指摘

ページトップへ