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Updated: Jan 16, 2026

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
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多变量系统识别差分驱动机器人:基于状态空间和LSTM模型之间的比较

Diego Guffanti1, Wilson Pavon1

  • 1Universidad UTE, Av. Mariscal Sucre, Quito 170129, Ecuador.

Sensors (Basel, Switzerland)
|September 27, 2025
PubMed
概括

状态空间模型 (SSM) 和长短期内存 (LSTM) 网络被用于移动机器人建模. 该研究发现,与LSTM相比,SSM在距离测量估计方面提供了更高的准确性和效率.

关键词:
差速驱动机器人是如何工作的标识 标识 标识 标识 标识长期短期记忆 长期短期记忆移动机器人 移动机器人建模建模模型是什么经常性的神经网络.空间状态空间状态

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