相关实验视频

Updated: Jan 9, 2026

Real-Time DC-dynamic Biasing Method for Switching Time Improvement in Severely Underdamped Fringing-field Electrostatic MEMS Actuators
11:44

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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动态分析和适应性规定的性能后退控制两个静电合的MEMS共振器的优化优化

Yeqing Shan1, Guangying Lv1, Fengyun Li2

  • 1College of Mathematics and Statistics, Nanjing University of Information Science and Technology, Nanjing 210044, China.

ISA transactions
|November 29, 2025
PubMed
概括

本研究介绍了合MEMS共振器的自适应控制策略,有效抑制混乱并提高跟踪精度. 这种新的方法确保了非线性系统的快速融合和高精度.

关键词:
适应性规定的性能退步控制.混沌的动态 混沌的动态合的MEMS共振器可以使用.优化优化 优化优化T2FWNNNN 在线观看

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