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Fault-Tolerant Sliding Predictor for Sampled Data Series

Hu Feng Wen Xisen (The National University of Defense Technology,Changsha 410073) Sun Guoji (Xi'an Jiaotong University,Xi'an 710049)   

  • Published:2001-12-25
  • Supported by:
    国家博士后科学基金;; 制造系统工程国家重点实验室访问学者基金 (2 0 0 0 - 12 3 )资助项目

Abstract: A series of iterative identification algorithms is given for parameters of the curve fitting model.Under the model,the approach for fault-tolerant predicting algorithm is built in this paper.This fault-tolerant predictor is practical.The simulation results show that the new predictor has the capability to properly overcome bad influence coming from outliers.