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

CoCPN-ng – Cooperative Cyber-Physical Networking: Next Generation
CoCPN-ng â 协作网络物理网络:下一代
批准号:
432191479
负责人:
Professor Dr.-Ing. Uwe D. Hanebeck
金额:
$0.0万
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
项目状态:
已结题
起止时间:
2018-12-31 至 2020-12-31

项目摘要

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中文摘要
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英文摘要
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.
期刊论文(4)
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会议论文
Stability Analysis of Polytopic Markov Jump Linear Systems with Applications to Sequence-Based Control over Networks
多面马尔可夫跳跃线性系统的稳定性分析及其在基于序列的网络控制中的应用
DOI: 10.1016/j.ifacol.2020.12.1030
发表时间: 2020
期刊: IFAC-PapersOnLine
影响因子: --
作者: [Florian Rosenthal, Uwe D. Hanebeck]
通讯作者: Uwe D. Hanebeck
Cooperative Congestion Control for Cyber-Physical Systems
信息物理系统的协作拥塞控制
DOI: 10.1109/meco52532.2021.9460239
发表时间: 2021
期刊: 2021 10th Mediterranean Conference on Embedded Computing (MECO)
影响因子: --
作者: [Markus Jung, Martina Zitterbart]
通讯作者: Martina Zitterbart
Sequence-Based Stochastic Receding Horizon Control Using IMM Filtering and Value Function Approximation
使用 IMM 滤波和值函数逼近的基于序列的随机后退水平控制
DOI: 10.1109/cdc40024.2019.9029717
发表时间: 2019
期刊: 2019 IEEE 58th Conference on Decision and Control (CDC)
影响因子: --
作者: [Florian Rosenthal, Uwe D. Hanebeck]
通讯作者: Uwe D. Hanebeck
DOI: 10.1109/lcn52139.2021.9524887
发表时间: 2021-10
期刊: 2021 IEEE 46th Conference on Local Computer Networks (LCN)
影响因子: --
作者: [Markus Jung;M. Zitterbart]
通讯作者: Markus Jung;M. Zitterbart
Stochastic Optimal Control based on Gaussian Processes Regression
Recursive Estimation of Rigid Body Motions
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