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Event-Based Quantized Dissipative Filtering for Nonlinear Networked Systems

Author

Listed:
  • 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)

  • Shuxia Jing

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

Abstract

This article investigates the event-based dissipative filtering problem for nonlinear networked systems with dynamic quantization. The nonlinear plant is represented using a discrete-time Takagi–Sugeno (T–S) fuzzy model. The main idea of this article is that a novel dynamic event-triggered mechanism as well as a dynamic quantization strategy combined with a general online adjustment rule are introduced to comprehensively decrease the amount of data involved in network communication and realize the rational utilization of limited communication resources. This article aims to design an event-based quantized filter such that the asymptotic stability and the specified dissipative filtering performance of the filtering error system can be ensured. The design conditions for the desired filter are provided in the form of linear matrix inequalities. Lastly, the effectiveness of the proposed filter design method is demonstrated through the simulation results of a practical example.

Suggested Citation

  • Chengming Lu & Zhimin Li & Shuxia Jing, 2025. "Event-Based Quantized Dissipative Filtering for Nonlinear Networked Systems," Mathematics, MDPI, vol. 13(8), pages 1-18, April.
    • Handle: RePEc:gam:jmathe:v:13:y:2025:i:8:p:1248-:d:1632025
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