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Dissipative Fuzzy Filtering for Nonlinear Networked Systems with Dynamic Quantization and Data Packet Dropouts

Author

Listed:
  • Shuxia Jing

    (School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China)

  • Chengming Lu

    (School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China)

  • Zhimin Li

    (School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, Langfang 065000, China)

Abstract

This paper discusses the dissipative filtering problem for discrete-time nonlinear networked systems with dynamic quantization and data packet dropouts. The Takagi–Sugeno (T–S) fuzzy model is employed to approximate the considered nonlinear plant. Both the measurement and performance outputs are assumed to be quantized by the dynamic quantizers before being transmitted. Moreover, the Bernoulli stochastic variables are utilized to characterize the effects of data packet dropouts on the measurement and performance outputs. The purpose of this paper is to design full- and reduced-order filters, such that the stochastic stability and dissipative filtering performance for the filtering error system can be guaranteed. The collaborative design conditions for the desired filter and the dynamic quantizers are expressed in the form of linear matrix inequalities. Finally, simulation results are used to illustrate the feasibility of the proposed filtering scheme.

Suggested Citation

  • Shuxia Jing & Chengming Lu & Zhimin Li, 2024. "Dissipative Fuzzy Filtering for Nonlinear Networked Systems with Dynamic Quantization and Data Packet Dropouts," Mathematics, MDPI, vol. 12(2), pages 1-17, January.
    • Handle: RePEc:gam:jmathe:v:12:y:2024:i:2:p:203-:d:1315078
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    References listed on IDEAS

    as
    1. Li-Juan Cai & Xiao-Heng Chang, 2023. "Reduced-order filtering for discrete-time singular systems under fading channels," International Journal of Systems Science, Taylor & Francis Journals, vol. 54(1), pages 99-112, January.
    2. Thanh Binh Nguyen & Hyoung-Kyu Song, 2022. "Further Results on Robust Output-Feedback Dissipative Control of Markovian Jump Fuzzy Systems with Model Uncertainties," Mathematics, MDPI, vol. 10(19), pages 1-16, October.
    3. Hejun Yao & Fangzheng Gao, 2022. "Design of Observer and Dynamic Output Feedback Control for Fuzzy Networked Systems," Mathematics, MDPI, vol. 11(1), pages 1-13, December.
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