夏元清, 王晁, 高润泽, 詹玉峰, 孙中奇, 戴荔, 翟弟华. 云网边端协同云控制研究进展及挑战[J]. 信息与控制, 2024, 53(3): 273-286. DOI: 10.13976/j.cnki.xk.2024.4007
引用本文: 夏元清, 王晁, 高润泽, 詹玉峰, 孙中奇, 戴荔, 翟弟华. 云网边端协同云控制研究进展及挑战[J]. 信息与控制, 2024, 53(3): 273-286. DOI: 10.13976/j.cnki.xk.2024.4007
XIA Yuanqing, WANG Chao, GAO Runze, ZHAN Yufeng, SUN Zhongqi, DAI Li, ZHAI Dihua. Progress and Challenges of Cloud-network-edge-end Collaborative Cloud Control[J]. INFORMATION AND CONTROL, 2024, 53(3): 273-286. DOI: 10.13976/j.cnki.xk.2024.4007
Citation: XIA Yuanqing, WANG Chao, GAO Runze, ZHAN Yufeng, SUN Zhongqi, DAI Li, ZHAI Dihua. Progress and Challenges of Cloud-network-edge-end Collaborative Cloud Control[J]. INFORMATION AND CONTROL, 2024, 53(3): 273-286. DOI: 10.13976/j.cnki.xk.2024.4007

云网边端协同云控制研究进展及挑战

Progress and Challenges of Cloud-network-edge-end Collaborative Cloud Control

  • 摘要: 针对网络化控制系统通信与计算资源不足、云控制系统难以完全保证复杂任务实时控制的问题,在云控制系统研究基础上,云网边端协同云控制利用云控制平台层、网络传输层、边缘控制层、终端设备层各自优势,实现互联互通、相互协作、优化运行,是复杂智能系统控制问题的理想解决方案。鉴于此,本文详细阐述了云网边端协同云控制的研究进展。首先,简要介绍了云网边端协同云控制的构成要素;其次,整理了云控制系统各方面的研究成果;最后,详细介绍云网边端协同云控制及其应用研究,并对未来的研究方向进行展望与讨论。

     

    Abstract: To address the limitations of communication and computing resources in networked control systems and the challenge of ensuring real-time control of complex tasks through cloud control systems, the cloud-network-edge-end collaborative cloud control utilizes the capabilities of the cloud control layer, edge control layer, network layer, and device layer. This methodology enables interconnection, collaboration, and optimization, making it an ideal solution for controlling complex intelligent systems. In this regard, we provide comprehensive research on the cloud-network-edge-end collaborative cloud control architecture. First, we provide a brief introduction to the architecture components, followed by a summary of research on the cloud control system. Lastly, we introduce the cloud-network-edge-end collaborative cloud control architecture and its application, along with a discussion and prospection for future research.

     

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