Exploiting Adaptive Networking for Joint Design ofCommunication and Control in Cyber Physical Systems(eNC2)

eNC 2项目提案倡导在网络物理系统中联合设计通信和控制，利用自适应网络概念实现全球（而不是本地）网络物理系统。该项目的目标是开展多学科和合作研究，以推进未来控制和通信（C&C）系统结合的网络物理系统（CPS）的基础理论，而不是通过不可知的耦合，而是探索C&C系统之间的相互依赖性。目前，通信网络集成了诸如软件定义网络（SDN）和网络功能虚拟化（NFV）的颠覆性新技术来应对诸如i. latency，ii.）弹性，和iii.）高度动态的网络条件，允许控制系统在全球范围内处理网络物理系统。从控制的角度来看，我们必须解决的集成传感器融合-决策-学习（SDL）到传统的控制器-控制器回路连接到网络的个人网络物理系统，并研究新的数学模型的优化方法，系统地得出一个联合C&C结构。从通信的角度来看，我们将引入网络编码和压缩感知的NFV/SDN使能通信系统，研究基本的限制和处理大量的可控实体。为了证明组合C&C方法，我们实现了我们自己的测试床基于openstack（NFV），openflow（SDN），KODO（网络编码），和TestMan（专有控制软件），研究敏捷分层决策和学习的作用，通过连接的合作汽车。

The project proposal eNC2 is advocating for joint design of communication and control in cyber physical systems exploiting adaptive networking concepts to enable global (and not local) cyber physical systems. The goal of the project is to carry out multi-disciplinary and collaborative research to advance the fundamental theory for future cyber physical systems (CPSs) combining control and communication (C&C) system not by agnostic coupling but exploring the inter-dependency between C&C system. Currently, communication networks integrate disruptive novel techniques such as software defined networks (SDN) and network function virtualization (NFV) to deal with the new challenges such as i.) latency, ii.) resilience, and iii.) highly dynamic network conditions, which allow the control systems to address cyber physical systems on a global scale. From the control perspective, we have to address the integration of sensor fusion - decision making - learning (SDL) into the conventional observer-controller loop for individual cyber physical systems attached to the network, and study new mathematical models for an optimization approach to systematically derive a joint C&C structure. From the communication perspective, we will introduce network coding and compressed sensing for NFV/SDN enabled communication systems to study fundamental limits and deal with massive number of controllable entities. In order to demonstrate the combined C&C approach, we implement our own testbed based on openstack (NFV), openflow (SDN), KODO (network coding), and TestMan (proprietary controlling software) to study the role of agile hierarchical decision making and learning by means of connected cooperative cars.