CAREER: Design of in-line controllers for continuously operating networks with structural uncertainty

职业：为具有结构不确定性的连续运行网络设计在线控制器

• 批准号: 1553504
• 负责人: Donatello Materassi
• 金额: $ 50.73万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-08-01 至 2020-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1553504&HistoricalAwards=false
• 关键词: CAREER; Design; line; controllers; continuously

This project focuses on designing control mechanisms for a networked system with unknown structure by making use only of non-invasive observations. By non-invasive observations, it is meant that what is being measured is not the system reaction to actively injected inputs, but rather the system behavior when it is operating under standard conditions and subject to potentially unobservable forcing signals. The capability of designing controllers based only on non-invasive observations is of paramount importance for any large scale network fulfilling critical or uninterruptible functions (i.e., a power grid, a logistic system) or in situations where it is impractical or too expensive to inject known probing signals into the system (i.e., a gene network, a financial network). Other relevant applications are in medicine (i.e., repeated drug testing, computer- assisted anesthesia). Indeed, in these cases, for obvious safety and health concerns, it is not desirable to actively test the response of a patient to a different drug dosage or treatment, if comparably useful information could be inferred from non-invasive observations.Since non-invasive observations do not always provide full information about the network's configuration, the project will also consider how to define adequate control mechanisms that are robust with respect to uncertainties in the connectivity structure. These kinds of uncertainties are not typically considered in standard techniques for control design and the development of specific methodologies is required. Combined with the capability of adapting to changes in the network's configuration, these control techniques will provide a solid foundation for the realization of a self-healing system. This project will bridge together different areas, including statistics, computer science, and control theory with a single unifying framework. New courses will be created to facilitate communication among all these communities of researchers, advancing separate fields in a multidisciplinary way.

该项目的重点是通过仅利用非侵入性观察来设计具有未知结构的网络系统的控制机制。通过非侵入性观察，这意味着正在测量的不是系统反应，而是系统的注入输入的反应，而是系统行为在标准条件下运行并受到潜在无法观察到的强迫信号的反应。仅基于非侵入性观察的设计控制器的功能对于任何大规模网络都具有至关重要的重要性至关重要。其他相关应用是在医学中（即重复的药物测试，计算机辅助麻醉）。实际上，在这些情况下，出于明显的安全和健康问题，如果可以从非侵入性观察中推断出患者对其他药物剂量或治疗的反应，则不希望进行不同的剂量或治疗，因为非侵入性观察结果是非侵入性观察结果。在非侵入性观察中，该项目并不总是提供有关该网络配置的完整信息，该项目还将与适当的结合进行适当的结合，以适当地进行机构，以适当地进行控制。这些不确定性通常在控制设计的标准技术中通常不确定，并且需要开发特定方法。结合适应网络配置变化的能力，这些控制技术将为实现自我修复系统提供稳固的基础。该项目将使用一个统一的框架桥接不同的领域，包括统计，计算机科学和控制理论。将创建新的课程，以促进所有这些研究人员社区之间的交流，以多学科的方式推进单独的领域。