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Updated: Jul 6, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
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Published on: March 2, 2015

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采样数据同步控制器设计的新标准,用于在不匹配参数下的封闭循环单元神经网络

Seungyong Han1, Suneel Kumar Kommuri2, Yongsik Jin3

  • 1Korea Atomic Energy Research Institute (KAERI), Daejeon, 34057, Republic of Korea.

Neural networks : the official journal of the International Neural Network Society
|January 5, 2024
PubMed
概括

这项研究引入了对封闭循环单元 (GRU) 的新型采样数据同步,这是这些复杂神经网络的首次. 该方法确保了稳定性,并通过事件触发控制提高了通信效率.

关键词:
定期抽样采集 定期抽样采集事件触发机制事件触发机制有门的经常性单位.线性矩阵不等式的不等式线性参数变化系统的线性参数变化系统同步的同步是同步的同步.

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