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Energy-to-peak filtering for uncertain discrete-time singular bilinear systems with multipath data packet dropouts

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  • Meng-Qi Wang
  • Xiao-Heng Chang

Abstract

In this paper, the energy-to-peak filtering problem for the uncertain discrete-time singular bilinear systems is studied. This paper considers the uncertainties that consist of real systems and the possible data packet dropouts when performance output signals and measurement output signals are transmitted over digital channels. In the course of the study, the phenomenon is elucidated utilising the Bernoulli random binomial distribution. The goal is to design the desired filter, so that the filtering error system is admissible, and meets the specified energy-to-peak performance index. The design conditions of energy-to-peak filters for uncertain discrete-time singular bilinear systems are given by introducing the Lyapunov function and using linear matrix inequalities (LMIs). The impact of uncertainty on singular bilinear systems is addressed using a two-step approach. At last, a numerical illustration is provided to demonstrate the validity of the design.

Suggested Citation

  • Meng-Qi Wang & Xiao-Heng Chang, 2024. "Energy-to-peak filtering for uncertain discrete-time singular bilinear systems with multipath data packet dropouts," International Journal of Systems Science, Taylor & Francis Journals, vol. 55(15), pages 3130-3142, November.
    • Handle: RePEc:taf:tsysxx:v:55:y:2024:i:15:p:3130-3142
    DOI: 10.1080/00207721.2024.2364287
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