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.
@article{arxiv.1303.5433,
title = {A Fuzzy Logic Approach to Target Tracking},
author = {Chin-Wang Tao and Wiley E. Thompson},
journal= {arXiv preprint arXiv:1303.5433},
year = {2013}
}
Comments
Appears in Proceedings of the Eighth Conference on Uncertainty in Artificial Intelligence (UAI1992)