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Modeling and Controller Design of a Cloud-Based Control Switching System in an Uncertain Network Environment

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Abstract

Cloud control system (CCS) is an important embodiments of the convergence of information technology (IT) and operational technology (OT) in the industrial internet of things (IIoT). Meeting the time-sensitive requirements of control systems in an uncertain network environment constitutes a critical challenge faced by CCS. To address this issue, this paper first analyzes the network uncertainty of cloud computing services, and constructs a discrete cloud controllers models under scenarios such as random short latency, long latency, disorder, and packet loss, and it further transform the time-varying characteristics of delays into switching characteristics between system models. Then, considering the characteristics of flexible scheduling and the dynamic scalability of cloud computing, a cloud control switching system composed of unstable autonomous subsystems and discrete time-varying subsystems is designed. Furthermore, based on the optimal control theory, a quadratic optimal controller for the switching system is developed, and the stability of the controller is analyzed to address the impact of uncertain network transmission delays on the system stability. Finally, simulation experiments show that a switching system composed of multiple cloud controllers can effectively improve system stability.

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Funding

This work was self-funded.

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Authors and Affiliations

  1. School of Computer Science and Technology, Harbin Engineering University, Harbin, 150001, Heilongjiang, China

    Shuyu Lyu

  2. Wuhan Digital Engineering Institute, Wuhan, 430074, Hubei, China

    Shuyu Lyu, Xinfa Dai, Zhong Ma, Yi Gao & Zhekun Hu

  3. Innovation Center for GPU and Intelligent Computing System Technology, Wuhan, 430074, Hubei, China

    Shuyu Lyu, Xinfa Dai, Yi Gao & Zhekun Hu

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  1. Shuyu Lyu
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  2. Xinfa Dai
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  3. Zhong Ma
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  4. Yi Gao
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  5. Zhekun Hu
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Contributions

Shuyu Lyu as the corresponding author is a major contributor in proposing the method. Xinfa Dai and Zhong Ma shared their ideas and provided guidance on algorithm design. Yi Gao carried out the partial experimental work. Zhekun Hu contributed to the partial data analysis. All authors reviewed the manuscript.

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Correspondence to Shuyu Lyu.

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Lyu, S., Dai, X., Ma, Z. et al. Modeling and Controller Design of a Cloud-Based Control Switching System in an Uncertain Network Environment. J Netw Syst Manage 32, 72 (2024). https://doi.org/10.1007/s10922-024-09850-8

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  • DOI: https://doi.org/10.1007/s10922-024-09850-8

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