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Intermediate-estimator-based fault tolerant shape control via PDFs

Author

Listed:
  • Li, Tao
  • Zhang, Zhixuan
  • Dai, Zhuxiang
  • Xu, Liuyong

Abstract

Intermediate estimator-based fault tolerant shape control (FTSC) is investigated by only using the measured outputs probability density functions (PDFs). To overcome the fault boundedness restriction and the observer matching limitation, the intermediate estimator is designed by introducing a new intermediate variable. In this framework, the unknown faults and weights can be simultaneously estimated. Based on the obtained fault information, FTSC is designed to compensate the fault and track the desirable PDFs. Finally, an example is verified to show the effectiveness of our proposed algorithm.

Suggested Citation

  • Li, Tao & Zhang, Zhixuan & Dai, Zhuxiang & Xu, Liuyong, 2022. "Intermediate-estimator-based fault tolerant shape control via PDFs," Applied Mathematics and Computation, Elsevier, vol. 435(C).
    • Handle: RePEc:eee:apmaco:v:435:y:2022:i:c:s0096300322005501
    DOI: 10.1016/j.amc.2022.127476
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    References listed on IDEAS

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    1. Hao Wang & Lina Yao, 2019. "Sensor Fault Diagnosis and Fault-Tolerant Control for Non-Gaussian Stochastic Distribution Systems," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-8, February.
    2. Li, Tao & Dai, Zhuxiang & Song, Gongfei & Du, Haiping, 2019. "Simultaneous disturbance estimation and fault reconstruction using probability density functions," Applied Mathematics and Computation, Elsevier, vol. 362(C), pages 1-1.
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