A Fuzzy Logic Approach to Target Tracking
  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.
