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Updated: Sep 13, 2025

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代学习控制 没有重置基于有限时间零化神经网络的算法的条件

Yuanyuan Chai1, Furong Zhang2, Donglin Jiang1

  • 1School of Engineering, Changchun Normal University, Changchun 130032, China.

Sensors (Basel, Switzerland)
|July 30, 2025
PubMed
概括

这项研究引入了一种新的机器人操纵器控制方法,即基于有限时间归零神经网络 (NRCILC-FTZNN) 的无重置条件的非重置代学习控制,用于精确的轨迹跟踪. 新方法显著减少了跟踪错误,并提高了收速度,即使在外部干扰的情况下.

关键词:
初始条件算法初始条件算法代学习控制 代学习控制归零神经网络的神经网络.

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