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Identification of FIR systems under difference-driven scheduled quantized observations

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Abstract

In networked system identification, how to effectively use communication resources and improve convergence speed is the focus of attention. However, there is an inherent contradiction between the two tasks. In this paper, the event-driven communication is used to save communication resources for the identification of finite impulse response systems, and the input design is carried out to meet the requirements of convergence speed. First, a difference-driven communication is proposed. Then, the performance of the communication mechanism is analyzed, and the calculation method of its communication rate is given. After that, according to the communication rate and the convergence rate of the identification algorithm, the input design problem is transformed into a constrained optimization problem, and the algorithm for finding the optimal solution is given. In addition, considering the case that the output is quantized by multiple thresholds, the way to calculate its communication rate is given and the influence of threshold number on communication rate is discussed. Finally, the effectiveness of the algorithm is verified by simulation.

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Authors and Affiliations

  1. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Dong Liang, Ruizhe Jia & Jin Guo

  2. Key Laboratory of Knowledge Automation for Industrial Processes, Ministry of Education, Beijing, 100083, China

    Dong Liang, Ruizhe Jia & Jin Guo

  3. National Engineering Research Center for Advanced Rolling and Intelligent Manufacturing, University of Science and Technology Beijing, Beijing, 100083, China

    Fengwei Jing & Yong Song

Authors
  1. Dong Liang
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  2. Ruizhe Jia
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  3. Fengwei Jing
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  4. Yong Song
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  5. Jin Guo
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Corresponding author

Correspondence to Yong Song.

Additional information

This research was supported in part by the National Natural Science Foundation of China (No. 62173030) and in part by the Beijing Natural Science Foundation (No. 4222050).

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Liang, D., Jia, R., Jing, F. et al. Identification of FIR systems under difference-driven scheduled quantized observations. Control Theory Technol. 22, 163–172 (2024). https://doi.org/10.1007/s11768-023-00149-8

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  • DOI: https://doi.org/10.1007/s11768-023-00149-8

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