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Inventi Impact: Algorithm

Articles

  • Inventi:eal/33101/20
    Application of the Artificial Fish School Algorithm and Particle Filter Algorithm in the Industrial Process Control Particle Filtering Algorithm for Industrial Process Control
    Research 2021 : January - March
    Zhaoxia Huang

    The Industrial Internet of Things (IIoT) is of strategic importance in the new era of industrial big data, creating a brand-new\nindustrial ecosystem. Considering the unknown parameters in the IIoT-based industrial process control systems, this paper\ncombines the artificial fish swarm algorithm (AFSA) and the particle filtering (PF) algorithm into the AFSA-PF algorithm based\non the self-organizing state space (SOSS) model.TheAFSA-PF algorithm not only can estimates the system state but also can make\nthe sampling distribution of the unknown parameter to move the true parameter distribution. Ultimately, the true values of the\nunknown parameters are identified. In this way, the system model can gradually approximate the actual IIoT-based industrial\nprocess control system.

    How to Cite this Article
    Attribution/ CC Compliant Citation:Huang, Zhaoxia. \"Application\nof the Artificial Fish School Algorithm and Particle Filter\nAlgorithm in the Industrial Process Control Particle Filtering\nAlgorithm for Industrial Process Control.\" Mathematical Problems\nin Engineering 2020 (2020).\nhttps://doi.org/10.1155/2020/3070539\nhttp://creativecommons.org/licenses/by/4.0/\nSome formatting elements, header, footer, logos, dates and\npagination were modified while adapting this article.
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