Comparison of H_∞ Robust Filter and Kalman Filter

Abstract

In general conditions, Kalman filtering technique has been applied extensively. When there is uncertainty in dynamic model of the statistics of noise sources are not fully known or unavailable, the application of Kalman filtering is restricted. H_∞ filtering can solve the problems in the applications of Kalman filtering with high accuracy and robustness. In this paper, H_∞ filtering and Kalman filtering technique are introduced in brief, H_∞ robust filter and Kalman filter are designed, and their performances are compared and studied through three aspects.

Cite this paper

@article{likun2003comparison,
  title = {{Comparison of H_∞ Robust Filter and Kalman Filter}},
  author = {Li-kun, Zhang},
  journal = {Systems engineering and electronics},
  year = {2003}
}

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