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Recursive filtering for stochastic parameter systems with measurement quantizations and packet disorders

Author

Listed:
  • Liu, Dan
  • Wang, Zidong
  • Liu, Yurong
  • Alsaadi, Fuad E.

Abstract

In this paper, the recursive filtering problem is put forward for stochastic parameter systems subject to quantization effects and packet disorders. Before entering communication networks, measurement outputs are quantized by logarithmic quantizers. The packet disorders result from transmission delays which are provoked by communication constraints and occur randomly in the sensor-to-filter channel. In case of measurement quantizations and packet disorders, the objective of this paper is to devise a novel recursive filter approach that is capable of 1) guaranteeing desired upper bounds on the resultant filtering error covariances; and 2) minimizing such upper bounds by acquiring appropriate filter gains. Furthermore, sufficient conditions are established to ensure the mean-square boundedness of filtering errors by means of stochastic analysis techniques. At last, simulations are given to validate the applicability of our designed approach.

Suggested Citation

  • Liu, Dan & Wang, Zidong & Liu, Yurong & Alsaadi, Fuad E., 2021. "Recursive filtering for stochastic parameter systems with measurement quantizations and packet disorders," Applied Mathematics and Computation, Elsevier, vol. 398(C).
    • Handle: RePEc:eee:apmaco:v:398:y:2021:i:c:s0096300321000084
    DOI: 10.1016/j.amc.2021.125960
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    References listed on IDEAS

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    1. Qin, Xiaoli & Wang, Cong & Li, Lixiang & Peng, Haipeng & Yang, Yixian & Ye, Lu, 2019. "Finite-time projective synchronization of memristor-based neural networks with leakage and time-varying delays," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 531(C).
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    Cited by:

    1. Li, Jiaxing & Hu, Jun & Cheng, Jun & Wei, Yunliang & Yu, Hui, 2022. "Distributed filtering for time-varying state-saturated systems with packet disorders: An event-triggered case," Applied Mathematics and Computation, Elsevier, vol. 434(C).
    2. Yan, Zhiguo & Zhang, Min & Chang, Gaizhen & Lv, Hui & Park, Ju H., 2022. "Finite-time annular domain stability and stabilization of Itô stochastic systems with Wiener noise and Poisson jumps-differential Gronwall inequality approach," Applied Mathematics and Computation, Elsevier, vol. 412(C).

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