JAXA Repository / AIREX 未来へ続く、宙(そら)への英知

このアイテムに関連するファイルはありません。

タイトルA new learning strategy for the two-time-scale neural controller with its application to the tracking control of rigid arms
著者(英)Cheng, W.; Wen, J. T.
著者所属(英)NASA Headquarters
発行日1992-01-01
1992
言語eng
内容記述A novel fast learning rule with fast weight identification is proposed for the two-time-scale neural controller, and a two-stage learning strategy is developed for the proposed neural controller. The results of the stability analysis show that both the tracking error and the fast weight error will be uniformly bounded and converge to a bounded region which depends only on the accuracy of the slow learning if the system is sufficiently excited. The efficiency of the two-stage learning is also demonstrated by a simulation of a two-link arm.
NASA分類CYBERNETICS
レポートNO93A37007
権利Copyright


このリポジトリに保管されているアイテムは、他に指定されている場合を除き、著作権により保護されています。