通过基于极端学习机器的扩展状态观察者闭环抓获调制

Zhiyao Zhao1,2, Zijin Wang1,2, Wei Wei3

  • 1School of Artificial Intelligence, Beijing Technology and Business University, Beijing, 100048 China.

PubMed
概括

这项研究引入了针对的改进的神经调节技术,通过使用基于极端学习机器的观察员来更准确地估计干扰,增强实时控制.

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