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<p>For a class of nonlinear descriptor systems, the off-line convergent iterative fault estimation is achieved via discrete sampled output data. The observers relying on real-time continuous measured output are common in the literature, which in general, need to interface docking with the system equipments. However, in this paper, the information from the measured output is in the form of discrete sampling data, which can be transmitted wirelessly to the receiving end through the sensor or sampler. Then the receiving end utilizes the discrete sampling data to design and drive a corresponding initial robust observer and its iterative observer through embedding reasonable data processing via the cubic spline interpolation method. Under the observers, the state and fault are estimated well. In certain conditions, the norm integral sequence of fault estimation error from the iterative observer is convergent. The proposed convergent iterative fault estimation method via discrete sampled output data is tested by two numerical examples.</p>

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Sampled output data driven convergent fault estimation for continuous nonlinear descriptor systems

  • 期刊论文

  • 发表日期：

    2025年1月17日

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  • Ai Wang,
  • Sheng-Juan Huang,
  • Liang-Dong Guo,
  • Da-Qing Zhang,
  • Li-Bing Wu

摘要

For a class of nonlinear descriptor systems, the off-line convergent iterative fault estimation is achieved via discrete sampled output data. The observers relying on real-time continuous measured output are common in the literature, which in general, need to interface docking with the system equipments. However, in this paper, the information from the measured output is in the form of discrete sampling data, which can be transmitted wirelessly to the receiving end through the sensor or sampler. Then the receiving end utilizes the discrete sampling data to design and drive a corresponding initial robust observer and its iterative observer through embedding reasonable data processing via the cubic spline interpolation method. Under the observers, the state and fault are estimated well. In certain conditions, the norm integral sequence of fault estimation error from the iterative observer is convergent. The proposed convergent iterative fault estimation method via discrete sampled output data is tested by two numerical examples.