CSR-EHS:Integrating Decentralized Control and Real-Time Scheduling for Networked Dynamical Systems

网络动力系统遍布整个国家的基础设施，在国家电网、污水处理网络和国家交通系统中都可以看到这种系统的例子。随着这些网络规模的扩大，整个网络上的弱耦合可能会发展成系统范围的扰动，其影响可以在大范围的地理区域感受到。因此，国家迫切需要设计出更强大和更具成本效益的技术来管理这种联网系统。该项目通过一种自我触发的分散控制方法满足了这一需求。在这种方法中，网络子系统使用它们当前的状态信息来确定为确保联网系统的全局L2稳定性而必须交换信息的速率？S全局L2稳定性。这些速率被转换为对网络S流量的服务质量(Qos)约束。本项目使用这些服务质量约束来开发用于网络控制系统中消息传递调度的软实时算法。这项工作的新颖之处在于，由此产生的软实时控制系统提供了传统上在硬实时系统中看到的应用性能的保证。该项目正在通过与工业界合作，将自触发技术转移到私营部门，该项目使用嵌入式传感器-执行器网络来控制组合下水道溢出(CSO)事件的频率。该CSO网络是联网的网络物理系统的一个很好的例子。为了支持培训有资格管理这类系统的工程师，该项目正在开发一套关于网络物理系统的数学基础的讲座。

Networked dynamical systems are found throughout the national infrastructure.Examples of such systems are seen in the national power grid, wastewater networks, and the national transportation system. As these networks grow in size, weak coupling across the network can blossom into system wide disturbances whose effects are felt over large geographical regions. There is, therefore, a compelling national need to devise more robust and cost-effective techniques for managing such networked systems. This project addresses this need through a self-triggered approach to decentralized control. In this approach, network subsystems use their current state information to determine the rate at which information must be exchanged to assure the networked system?s global L2 stability. These rates are cast as quality-of-service (QoS) constraints on the network?s traffic. This project uses these QoS constraints to develop soft real-time algorithms for scheduling message passing in networked control systems. The novel aspect of this work is that the resulting soft real-time control system provides guarantees on application performance that have traditionally been seen in hard real-time systems. The project is transferring the self-triggered technology to the private sector through collaborations with industry on a project that uses embedded sensor-actuator networks to control the frequency of combined-sewer-overflow (CSO) events. This CSO network is a good example of a networked cyber-physical system. To support the training of engineers qualified to manage such systems, this project is developing a set of lectures on the mathematical foundations of cyber-physical systems.