Analysis and design of decentralized control systems in the presence of uncertain latency or system parameters

存在不确定延迟或系统参数的分散控制系统的分析和设计

• 批准号: 1710892
• 负责人: Laurent Lessard
• 金额: $ 38万
• 依托单位: University of Wisconsin-Madison
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2021-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1710892&HistoricalAwards=false
• 关键词: Analysis; design; decentralized; control; systems

This research addresses the analysis and design of decentralized feedback control systems. Such systems include: the power grid, wireless networks, and medical tele-robotics. In these applications, distributed information-gathering is taking place but decision-making is often made locally using small subsets of the total information. The emphasis of this research is on controlling decentralized systems in the presence of uncertainty, which can be uncertainty in inter-subsystem communication latency or uncertainty in the dynamics or parameters of the subsystems themselves. The intellectual merits of this project are to advance foundational knowledge in the science of decentralized control and to produce computationally efficient control algorithms. This research has the potential to impact several different application areas and to serve as a guide to practice for engineers and system designers.Optimal decentralized control is generally intractable, yet certain broad classes of problems can be efficiently solved. This project will leverage recent structural results for these tractable instances with the goal of elucidating universal architectures that allow for simple adaptations in the face of uncertainty in the subsystems or latency in their communication. To achieve this goal, the project will bring to bear tools and insights from the fields of optimal control, robust and nonlinear control, delayed systems, and decentralized control.

本研究探讨分散式回授控制系统之分析与设计。这些系统包括：电网，无线网络和医疗远程机器人。在这些应用程序中，正在进行分布式信息收集，但决策通常是使用总信息的一小部分在本地进行的。本研究的重点是在存在不确定性的情况下控制分散系统，这些不确定性可以是子系统间通信延迟的不确定性或子系统本身的动态或参数的不确定性。该项目的智力价值是推进分散控制科学的基础知识，并产生计算效率高的控制算法。这项研究有可能影响几个不同的应用领域，并作为工程师和系统designers.Optimum分散控制的实践指南通常是棘手的，但某些广泛的问题可以有效地解决。该项目将利用这些易于处理的实例的最新结构结果，其目标是阐明通用架构，该架构允许在子系统或其通信延迟的不确定性面前进行简单的调整。为了实现这一目标，该项目将带来来自最优控制，鲁棒和非线性控制，延迟系统和分散控制领域的工具和见解。

项目成果

Unified Necessary and Sufficient Conditions for the Robust Stability of Interconnected Sector-Bounded Systems

互联扇区系统鲁棒稳定性的统一必要条件和充分条件

• DOI: 10.1109/cdc40024.2019.9029605
• 发表时间: 2019
• 期刊: IEEE Conference on Decision and Control
• 作者: Cyrus, Saman;Lessard, Laurent
• 通讯作者: Lessard, Laurent

Integral Quadratic Constraints: Exact Convergence Rates and Worst-Case Trajectories

积分二次约束：精确收敛率和最坏情况轨迹

• DOI: 10.1109/cdc40024.2019.9029588
• 发表时间: 2019
• 期刊: IEEE Conference on Decision and Control
• 作者: Van Scoy, Bryan;Lessard, Laurent
• 通讯作者: Lessard, Laurent

Agent-level optimal LQG control of dynamically decoupled systems with processing delays

• DOI: 10.1109/cdc42340.2020.9303979
• 发表时间: 2020-09
• 期刊: 2020 59th IEEE Conference on Decision and Control (CDC)
• 作者: Mruganka Kashyap;Laurent Lessard

Explicit Agent-Level Optimal Cooperative Controllers for Dynamically Decoupled Systems with Output Feedback

具有输出反馈的动态解耦系统的显式代理级最优协作控制器

• DOI: 10.1109/cdc40024.2019.9029822
• 发表时间: 2019
• 期刊: IEEE Conference on Decision and Control
• 作者: Kashyap, Mruganka;Lessard, Laurent
• 通讯作者: Lessard, Laurent