CoCPN: Cooperative Cyber Physical Networking

CoCPN:协作网络物理网络

基本信息

项目摘要

The goal of the proposed project CoCPN is to investigate a novel cooperative approach for an integrated operation of control systems and communication system. We envision that both, the control system as well as the communication system can react adaptively to changes in the current situation. The so called CoCPN-translator couples both systems and translates control requirements into communication properties and vice versa. From the control system side, we employ a decentralized approach to locally approximately solve the global problem of optimizing the behavior of all control loops, connected by the communication system. We apply an event-based approach to adjust the communication demand. The non-deterministic properties of the communication system are taken into account by a sequence-based approach. We study assumed time-invariant communication properties, as well as time-varying communication properties. The problem induced by the first is solved by modelling the system as a Markov Jump Linear System and derive an optimal linear controller. The latter invokes a nonconvex optimization problem and is modelled as general Stochastic Hybrid System (SHS). The optimization will be studied by cost and policy approximation strategies and by employing a scenario-based approach.Regarding the network we assume that mixed CPS and non-CPS traffic needs to be served. Therefore, we apply traffic differentiation, which in order to be effective needs to be supported by an admission control. For traffic management, we follow a mixed centralized and de-centralized approach. A so-called observer has an approximate view on a wireless domain and, thus, can provide suited routes that then will be used via source routing. In order to properly deal with competing traffic in the network, we will investigate a mechanism four congestion control that utilizes knowledge from the network and will be tailored to event-based traffic instead of traffic streams as usually seen in the Internet. As a result CoCPN should provide a flexible framework for cyber physical networks that can cope with different types of traffic, does not need network overprovisioning, and the control loop has looser real-time requirements regarding the communication system.
建议的项目CoCPN的目标是研究一种新的合作方法的控制系统和通信系统的集成操作。我们设想,控制系统和通信系统都可以自适应地对当前情况的变化做出反应。所谓的CoCPN转换器耦合两个系统,并将控制要求转换为通信属性,反之亦然。从控制系统方面来看,我们采用分散的方法来局部近似解决优化由通信系统连接的所有控制回路的行为的全局问题。我们采用基于事件的方法来调整通信需求。通信系统的非确定性属性考虑到了基于序列的方法。我们研究假设的时不变通信特性,以及随时间变化的通信特性。第一个问题是通过将系统建模为马尔可夫跳变线性系统来解决的,并推导出最优线性控制器。后者调用一个非凸优化问题,并建模为一般的随机混合系统(SHS)。优化将研究成本和政策的近似策略,并通过采用一个基于的approaches.For网络,我们假设,混合CPS和非CPS流量需要提供服务。因此,我们应用流量区分,为了有效,需要由准入控制支持。对于流量管理,我们采用集中式和分散式混合的方法。所谓的观察者具有无线域上的近似视图,并且因此可以提供随后将经由源路由使用的合适路由。为了正确处理网络中的竞争流量,我们将研究一种机制四拥塞控制,利用网络中的知识,并将量身定制的基于事件的流量,而不是通常在互联网上看到的流量流。因此,CoCPN应该为网络物理网络提供一个灵活的框架,可以科普不同类型的流量,不需要网络过度配置,并且控制环路对通信系统的实时要求较低。

项目成果

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Professor Dr.-Ing. Uwe D. Hanebeck其他文献

Professor Dr.-Ing. Uwe D. Hanebeck的其他文献

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{{ truncateString('Professor Dr.-Ing. Uwe D. Hanebeck', 18)}}的其他基金

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
  • 财政年份:
    2019
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes
Stochastic Optimal Control based on Gaussian Processes Regression
基于高斯过程回归的随机最优控制
  • 批准号:
    349395379
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Recursive Estimation of Rigid Body Motions
刚体运动的递归估计
  • 批准号:
    325035548
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Cooperative Approaches to Design of Nonlinear Filters
非线性滤波器设计的协作方法
  • 批准号:
    283072193
  • 财政年份:
    2016
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Chance-Constrained Model Predictive Control based on Deterministic Density Approximation and Homotopy Continuation
基于确定性密度逼近和同伦延拓的机会约束模型预测控制
  • 批准号:
    267437392
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Consistent Fusion in Networked Estimation Systems
网络估计系统中的一致融合
  • 批准号:
    232171657
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Active Random Hypersurface Models: Simultaneous Shape and Pose Tracking of Extended Objects in Noisy Point Clouds
主动随机超曲面模型:噪声点云中扩展对象的同时形状和姿态跟踪
  • 批准号:
    234520279
  • 财政年份:
    2013
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Stochastische modell-prädiktive Regelung von verteilt-parametrischen Systemen über digitale Netze unter Verwendung von virtuellen Mess- und Stellgrößen
使用虚拟测量和操纵变量通过数字网络对分布式参数系统进行随机模型预测控制
  • 批准号:
    173876058
  • 财政年份:
    2010
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes
Hochdimensionale nichtlineare Zustandsschätzung auf Basis ungewisser Wahrscheinlichkeitsdichten
基于不确定概率密度的高维非线性状态估计
  • 批准号:
    58242181
  • 财政年份:
    2008
  • 资助金额:
    --
  • 项目类别:
    Research Grants
Integrierte nichtlineare modell-prädiktive Regelung und Schätzung unter umfassender Berücksichtigung stochastischer Unsicherheiten
综合考虑随机不确定性的集成非线性模型预测控制和估计
  • 批准号:
    75650505
  • 财政年份:
    2008
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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为信息物理步行训练系统“协同安全”技术实施策略奠定基础
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Cooperative Cyber Attack Protection, Fault Diagnosis, and Recovery Control of Autonomous Networked Unmanned Vehicles and Multi-Agent Cyber-Physical Systems (CPS)
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  • 批准号:
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Cooperative Cyber Attack Protection, Fault Diagnosis, and Recovery Control of Autonomous Networked Unmanned Vehicles and Multi-Agent Cyber-Physical Systems (CPS)
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