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On V-Geometric Ergodicity Markov Chains of the Two-Inertia Systems

Author

Listed:
  • Feng-Rung Hu

    (Department of Mathematics Education, National Taichung University of Education, Taichung 4403514, Taiwan)

  • Jia-Sheng Hu

    (Department of Greenergy, National University of Tainan, Tainan 700301, Taiwan)

Abstract

This study employs the diffusion process to construct Markov chains for analyzing the common two-inertia systems used in industry. Two-inertia systems are prevalent in commonly used equipment, where the load is influenced by the coupling of external force and the drive shaft, leading to variations in the associated output states. Traditionally, the control of such systems is often guided by empirical rules. This paper examines the equilibrium distribution and convergence rate of the two-inertia system and develops a predictive model for its long-term operation. We explore the qualitative behavior of the load end at discrete time intervals. Our findings are applicable not only in control engineering, but also provide insights for small-scale models incorporating dual-system variables.

Suggested Citation

  • Feng-Rung Hu & Jia-Sheng Hu, 2024. "On V-Geometric Ergodicity Markov Chains of the Two-Inertia Systems," Mathematics, MDPI, vol. 12(10), pages 1-11, May.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:10:p:1492-:d:1392170
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    References listed on IDEAS

    as
    1. Zemin Yang & Xiaopeng Li & Jinchi Xu & Renzhen Chen & Hexu Yang, 2023. "Study of Dynamic Performance and Control Strategy of Variable Stiffness Actuator System Based on Two-Inertial-System," Mathematics, MDPI, vol. 11(5), pages 1-19, February.
    2. Xiaoyue Wang & Jingxuan Wang & Ru Ning & Xi Chen, 2023. "Joint Optimization of Maintenance and Spare Parts Inventory Strategies for Emergency Engineering Equipment Considering Demand Priorities," Mathematics, MDPI, vol. 11(17), pages 1-18, August.
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