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CoCPN-ng – Cooperative Cyber-Physical Networking: Next Generation

CoCPN-ng â 协作网络物理网络：下一代

基本信息

批准号：
432191479
负责人：
Professor Dr.-Ing. Uwe D. Hanebeck
金额：
--
依托单位：
Institut für Telematik (TM)
依托单位国家：
德国
项目类别：
Priority Programmes
财政年份：
2019
资助国家：
德国
起止时间：
2018-12-31 至 2020-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/432191479?language=en
关键词：
CoCPN ng Cooperative Cyber Physical

项目摘要

From an abstract point of view a cyber-physical system can be modeled as a set of coexisting application control loops that share communication resources. The key idea of CoCPN is to implement cooperative sharing of communication resources among application control loops by balancing the quality of control (QoC) that each loop shall reach. Within the current project CoCPN we considered independent control applications each consisting of a single application control loop. The objective of CoCPN-ng is to further improve CoCPN to be able to cope with complex, elastic control applications that consist of multiple probably interdependent application control loops, e.g., in emerging smart factories. In contrast to the first funding period, CoCPN-ng considers interdependent application control loops, i.e., loops that affect each other in the physical (analog) world, e.g., inverted pendulums that could touch each other. Due to the increased dynamics envisioned in future cyber-physical systems, detailed manual pre-configurations of the system are not considered as a vital option. Therefore, within CoCPN-ng we plan to provide the CoCPN-translator with self-learning capabilities. We will investigate nonparametric online regression techniques as one possible approach. Furthermore, the impact of the interdependencies between application control loops on the newly developed metrics QoC and QM will be investigated based on systematic simulation experiments with our simulation and evaluation framework CoCPN-Sim. Regarding application control, more sophisticated control approaches will be pursued that send complete control laws to the actuators instead of plain input sequences. Furthermore, it will be researched how the control application specific “value” (e.g., criticality) of a transmitted control data packet can be utilized in the communication system in order to forward the most valuable information and discard information of less value. This requires suited mechanisms in the communication system (e.g., ARQ mechanisms, value-oriented queueing) that will be researched. Based on these mechanisms, we will design a control-aware transport protocol that is tailored to the needs of elastic control applications. We will conduct systematic simulation studies to investigate the applicability of CoCPN-ng in scenarios with varying numbers of control applications under changing communication conditions. We will use CoCPN-Sim that was successfully developed in the first funding period. Researching suitable trade-offs, for example regarding the detail of information being exchanged versus the achievable QoC is an important goal of the proposed project. Furthermore, trade-offs regarding communication and control complexity and the availability of resources (e.g., computing, storage, and communication capacity of resource-constrained sensors and actuators) will be investigated.

从抽象的角度来看，信息物理系统可以被建模为一组共享通信资源的共存的应用程序控制回路。CoCPN的核心思想是通过均衡各应用控制环应达到的控制质量（QoC），实现应用控制环之间通信资源的协同共享。在当前的项目CoCPN中，我们考虑了独立的控制应用程序，每个应用程序由单个应用程序控制回路组成。CoCPN-ng的目标是进一步改进CoCPN，使其能够科普复杂的、弹性的控制应用，这些应用由多个可能相互依赖的应用控制回路组成，例如，新兴的智能工厂。与第一个资助期相比，CoCPN-ng考虑了相互依赖的应用程序控制回路，即，在物理（模拟）世界中相互影响的环路，例如，可以互相接触的倒置的双足。由于未来的网络物理系统所设想的动态增加，系统的详细手动预配置不被认为是一个重要的选择。因此，在CoCPN-ng中，我们计划为CoCPN-translator提供自学习功能。我们将研究非参数在线回归技术作为一种可能的方法。此外，新开发的度量QoC和QM的应用程序控制回路之间的相互依赖性的影响将进行研究的基础上，我们的模拟和评估框架CoCPN-Sim系统的模拟实验。关于应用控制，将追求更复杂的控制方法，将完整的控制律发送到执行器，而不是简单的输入序列。此外，将研究控制应用特定的“值”（例如，关键性），以便转发最有价值的信息并丢弃价值较小的信息。这需要通信系统中的适当机制（例如，ARQ机制、面向价值的信令）。基于这些机制，我们将设计一个控制感知的传输协议，是量身定制的弹性控制应用程序的需要。我们将进行系统的模拟研究，以调查CoCPN-ng在不断变化的通信条件下，不同数量的控制应用程序的场景中的适用性。我们将使用在第一个资助期内成功开发的CoCPN-Sim。研究适当的权衡，例如关于交换的信息细节与可实现的QoC是拟议项目的一个重要目标。此外，关于通信和控制复杂性以及资源的可用性（例如，资源受限的传感器和致动器的计算、存储和通信能力）将被研究。