CPS: Small: Energy-Aware Formal Synthesis for Supervisory Control and Information Acquisition in Cyber-Physical Systems

该项目正在开发理论基础和计算算法，用于在与环境交互的同时消耗或补充其资源的网络物理系统中合成更高级别的监督和信息获取控制逻辑。一方面，定性要求捕获在系统运行时施加在系统上的安全要求。另一方面，定量要求捕捉能源意识系统的背景下的资源限制。在信息物理系统的应用中，必须在系统的动态运行中考虑到资源的有效管理，以便在给定的能源或资源预算内实现预期目标，这两方面的考虑是必要的。它利用了最近开发的统一框架，用于在信息物理系统的高级控制逻辑中进行监督控制和信息采集，但它明确地在解决方案过程中嵌入了定量约束，以便捕获信息物理系统在与环境交互时消耗和/或补充的能量或资源。这种通用的解决方案方法适用于几类受能源约束的网络物理系统。目前正在开发软件工具，以便利将这些成果转移到应用领域。特别感兴趣的是自主系统中的能量感知使命规划，这是一个定性使命要求与定量约束相结合的丰富领域。总体而言，该项目影响了网络物理系统科学和网络物理系统工程。

This project is developing theoretical foundations and computational algorithms for synthesizing higher-level supervisory and information-acquisition control logic in cyber-physical systems that expend or replenish their resources while interacting with the environment. On the one hand, qualitative requirements capture the safety requirements that are imposed on the system as it operates. On the other hand, quantitative requirements capture resource constraints in the context of energy-aware systems. These dual considerations are needed in applications of cyber-physical systems where efficient management of resources must be accounted for in the dynamic operation of the system in order to achieve the desired objectives within a given energy or resource budget.The approach pursued is formal and model-based. It leverages a recently-developed unified framework for supervisory control and information acquisition in the higher-level control logic of cyber-physical systems, but it explicitly embeds quantitative constraints in the solution procedure in order to capture the energy or resources expended and/or replenished by the cyber-physical system as it interacts with its environment. This generic solution methodology is applicable to several classes of cyber-physical systems subject to energy constraints. Software tools are being developed to facilitate the transition of these results to application domains. Of special interest is energy-aware mission planning in autonomous systems, a rich domain where qualitative mission requirements are coupled with quantitative constraints. Overall, this project impacts both the Science of Cyber-Physical Systems and the Engineering of Cyber-Physical Systems.