ML Anthology

A Fuzzy Logic Approach to Target Tracking

Chin-Wang Tao, Wiley E. Thompson
UAI 1992 pp. 310-314
doi:10.1016/B978-1-4832-8287-9.50047-5 /uai/1992/tao1992uai-fuzzy/

Abstract

This paper discusses a target tracking problem in which no dynamic mathematical model is explicitly assumed. A nonlinear filter based on the fuzzy If-then rules is developed. A comparison with a Kalman filter is made, and empirical results show that the performance of the fuzzy filter is better. Intensive simulations suggest that theoretical justification of the empirical results is possible.

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Text

Tao and Thompson. "A Fuzzy Logic Approach to Target Tracking." Conference on Uncertainty in Artificial Intelligence, 1992. doi:10.1016/B978-1-4832-8287-9.50047-5

Markdown

[Tao and Thompson. "A Fuzzy Logic Approach to Target Tracking." Conference on Uncertainty in Artificial Intelligence, 1992.](https://mlanthology.org/uai/1992/tao1992uai-fuzzy/) doi:10.1016/B978-1-4832-8287-9.50047-5

BibTeX

@inproceedings{tao1992uai-fuzzy,
  title     = {{A Fuzzy Logic Approach to Target Tracking}},
  author    = {Tao, Chin-Wang and Thompson, Wiley E.},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1992},
  pages     = {310-314},
  doi       = {10.1016/B978-1-4832-8287-9.50047-5},
  url       = {https://mlanthology.org/uai/1992/tao1992uai-fuzzy/}
}