库普曼线性二次调节器控制一个声学驱动的封装微气泡
Andrew J Gibson1, Xin C Yee1, Michael L Calvisi1
1Department of Mechanical and Aerospace Engineering, University of Colorado Colorado Springs, Colorado Springs, Colorado 80918, USA.
The Journal of the Acoustical Society of America
|December 9, 2025
概括
本研究提出了一种基于数据的方法,使用库普曼运算符理论来控制用声场封装的微气泡 (EMB). 库普曼线性二次调节器有效地驱动EMB到所需的行为,克服独特的动态挑战.
科学领域:
- 生物医学工程 生物医学工程
- 非线性动力学是一种非线性动力学.
- 控制理论 控制理论
背景情况:
- 封装微气泡 (EMB) 对于生物医学应用,如超声波成像和药物输送至关重要.
- 控制EMB的非线性动态是具有挑战性的,但对于精确的应用来说是必不可少的.
- 现有的控制方法与EMB在生物环境中的复杂行为作斗争.
研究的目的:
- 开发一种基于数据的方法,使用声场控制封装微气泡 (EMB).
- 应用库普曼运算子理论和库普曼线性二次调节器 (KLQR) 进行精确的EMB操纵.
- 调查和克服EMB带来的独特动态挑战,包括它们的缓慢变频器.
主要方法:
- 利用库普曼运算子理论来线性化EMB的非线性动态.
- 使用基于Marmottant模型的库普曼线性二次调节器 (KLQR) 设计了声控信号.
- 分析了EMB封装和缓慢的分流动力学对控制性能的影响.
主要成果:
- 证明了对EMB的有效控制,以实现特定的行为,如亚波共振放大和准周期性振荡.
- 确定EMB动态中的缓慢分流带来了独特的控制挑战.
- 展示了精心构建的库普曼固有函数的必要性,以捕捉可靠控制的相关动态.
结论:
- 库普曼运算子理论为控制EMB等非线性系统提供了一个强大的框架.
- 尽管KLQR控制器具有动态复杂性,但它有效地驱动EMB以准行为.
- 解决缓慢的多路动态对于生物医学应用中封装微气泡的成功声学控制至关重要.
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