EAGER: Exploratory Study for a Complex Adaptive System Testbed

EARLY概念探索性研究资助（EAGER）项目的目标是对能够验证系统设计理论的研究平台进行探索性研究。该研究平台最终将成为一个网络物理系统测试平台，在该平台上，可以通过实验观察硬件、软件和人类控制子系统的标称和故障行为，并将其与不同设计分析理论的预测行为进行比较。该平台将开发一个科学的设计理论验证过程，探索标称和故障紧急行为的性质，并扩展到故障检测和系统健康管理的研究。该项目正在通过设计，建造和使用一个小型试验台来开发平台，该试验台包含一个自主机器人团队，软件以及人机界面和控制。这项探索性研究将解决一个网络物理测试平台的可行性，建立一个基线的设计理论验证的一个例子分析理论，并提供必要的初步数据开发一个更复杂的测试平台。如果成功的话，本研究将建立一个通用的过程，通过实验验证系统设计理论。此外，在这项工作中开发的小规模研究平台将提供深入的测试和预测系统中的紧急行为，并被用作验证和评估工具，以支持系统设计社区的合作研究。将在这项工作中开发的验证指标可用于优化正在进行的研究中的工具和方法，以解决网络物理系统故障的复杂性。

The objective of this EArly-Concept Grant for Exploratory Research (EAGER) project is to conduct an exploratory study of a research platform capable of validating theories of system design. The research platform will eventually be a cyberphysical system testbed where nominal and faulty behavior of the hardware, software, and human control subsystems can be experimentally observed and compared to predicted behavior by different design analysis theories. This platform will enable the development of a scientific process for design theory validation, explore the nature of nominal and faulty emergent behavior, and expand research into fault detection and system health management. This project is developing the platform through design, construction, and use of a small-scale testbed incorporating an autonomous robot team, software, and human interface and control. This exploratory study will address the feasibility of a cyberphysical testbed, establish a baseline for design theory validation on an example analysis theory, and provide preliminary data necessary for developing a more complex testbed. If successful, this research will establish a general process for system design theory validation through experimentation. Further, the small-scale research platform developed in this work will provide insight into testing and predicting emergent behavior in systems and be used as a validation and evaluation tool to support collaborative research in the systems design community. The validation metrics that will be developed in this work can be used to optimize tools and methods in ongoing research to address the complex nature of failure in cyberphysical systems.