Control and Optimization of Semi-Dissipative Systems

半耗散系统的控制和优化

• 批准号: 2005696
• 负责人: Weiwei Hu
• 金额: $ 7.98万
• 依托单位: University of Georgia Research Foundation Inc
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2023-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2005696&HistoricalAwards=false
• 关键词: Control; Optimization; Semi; Dissipative; Systems

Transport and mixing play central roles in the circulation of the atmosphere and oceans, the spreading of environmental pollutants, the ventilation in buildings, the mixing of chemical substances, and many other phenomena in natural and engineered systems. The questions of what velocity fields effectively enhance or prevent transport and mixing, or steer quantities (such as mass concentration or density distribution) to a desired distribution, have attracted increasing attention. This project aims to use modern techniques from optimal control theory, nonlinear partial differential equations, and nonconvex and nonsmooth optimization to address these questions. The project will foster interdisciplinary collaboration and education efforts among different research groups and will also help train advanced undergraduate and graduate students across fields including mathematics, mechanical engineering, and chemical engineering to conduct collaborative research in optimal transport and mixing, flow control, and computational methods. The objective of this research is to establish an innovative and rigorous mathematical framework for achieving optimal transport and mixing via active control of fluid flows. The project focuses on (1) optimizing transport and mixing via control of the incompressible Navier-Stokes equations, with internal (distributed) and boundary control designs employed for different physical applications; (2) investigating the transport behavior of non-dissipative scalars, both passive and active, governed by the transport equations and addressing active transport through buoyancy-driven flows, modeled by the 2D Boussinesq approximation; and (3) applying non-smooth regularization to improve the sparsity of the controls. Investigation of the existence of an optimal control, differentiability of the coupled nonlinear system, and derivation of optimality conditions promises to launch new directions in nonlinear control, nonconvex optimization, and nonsmooth analysis of semi-dissipative systems. It will also contribute to the development of effective computational methods. The optimal control synthesis developed in this project will enable the study of similar phenomena arising in other complex flows, such as mass transfer in electrically conducting fluids, heat exchange in compressible flows, and double diffusion in oceanography, that are of great interest to a broad range of scientists and engineers.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

输送和混合在大气和海洋的循环、环境污染物的扩散、建筑物的通风、化学物质的混合以及自然和工程系统中的许多其他现象中起着核心作用。什么样的速度场能有效地增强或阻止输运和混合，或将量（如质量浓度或密度分布）引导到期望的分布，这一问题已引起越来越多的关注。这个项目的目的是利用现代技术，从最优控制理论，非线性偏微分方程，非凸和非光滑优化来解决这些问题。该项目将促进不同研究小组之间的跨学科合作和教育工作，并将帮助培养包括数学，机械工程和化学工程在内的各个领域的高级本科生和研究生，以进行最佳运输和混合，流量控制和计算方法的合作研究。 本研究的目的是建立一个创新的和严格的数学框架，通过主动控制流体流动实现最佳的传输和混合。该项目的重点是（1）通过控制不可压缩的Navier-Stokes方程优化传输和混合，（分布式）和边界控制设计用于不同的物理应用;（2）研究由输运方程控制的非耗散标量的输运行为，包括被动标量和主动标量，并通过由二维Boussinesq近似模拟的浮力驱动的流动来解决主动输运;以及（3）应用非光滑正则化以改善控制的稀疏性。研究最优控制的存在性、耦合非线性系统的可微性以及最优性条件的推导，将为非线性控制、非凸优化和半耗散系统的非光滑分析提供新的方向。它还将有助于发展有效的计算方法。在这个项目中开发的最优控制合成将使研究其他复杂流动中出现的类似现象成为可能，例如导电流体中的传质，可压缩流动中的热交换和海洋学中的双扩散，该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的学术价值和更广泛的影响审查标准。

项目成果

Sampled-data based Failure Rate Identification for a Multi-state Reparable System

基于采样数据的多状态可修复系统故障率识别

• DOI: 10.1109/cdc42340.2020.9304058
• 发表时间: 2020
• 期刊: Proceedings of 59th IEEE Conference on Decision and Control
• 作者: Hu, Weiwei;Liu, Jun
• 通讯作者: Liu, Jun

Optimal conduit shape for Stokes flow

斯托克斯流的最佳导管形状

• DOI: 10.1016/j.sysconle.2023.105461
• 发表时间: 2023
• 期刊: Systems & Control Letters
• 影响因子: 2.6
• 作者: Ceretani, Andrea N.;Hu, Weiwei;Rautenberg, Carlos N.
• 通讯作者: Rautenberg, Carlos N.

Failure Rate Identification of a Reparable System Governed by Coupled ODE-PDEs and Deep Learning based Implementation

• DOI: 10.23919/acc55779.2023.10156339
• 发表时间: 2023-05
• 期刊: 2023 American Control Conference (ACC)
• 作者: Weiwei Hu;Alexander Tepper;B. Xie;Qing Zhang

Numerical algorithms and simulations of boundary dynamic control for optimal mixing in unsteady Stokes flows

• DOI: 10.1016/j.cma.2023.116455
• 发表时间: 2023-06
• 期刊: Computer Methods in Applied Mechanics and Engineering
• 影响因子: 7.2
• 作者: Xiaoming Zheng;Weiwei Hu;Jiahong Wu

Robust output regulation of the linearized Boussinesq equations with boundary control and observation

• DOI: 10.1007/s00498-021-00313-y
• 发表时间: 2020-10
• 期刊: Mathematics of Control, Signals, and Systems
• 作者: N. Leppla;B. M. Drees;A. Showler;John L. Capinera;Jorge E. Peña;C. Mannion;F. William Howard