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Updated: Jan 12, 2026

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
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Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators

Published on: August 15, 2014

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离散时间的米塔格-莱弗勒状态估计分数顺序的四次数记忆神经网络

Qun Huang1, Zhengwen Tu2

  • 1School of Mathematics and Statistics, Nantong University, Nantong, 226019, China. huangqun@ntu.edu.cn.

Scientific reports
|October 31, 2025
PubMed
概括

这项研究引入了一种新的方法,用于分数顺序的记忆系统的状态估计. 它通过使用离散分数计算和矢量优化来确保估计错误的全球米塔格-勒弗勒稳定性.

关键词:
离散时间是离散的时间.分数顺序的分数顺序.在四值系统中,值为四值.国家估计国家估计.

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