Now showing items 1-2 of 2

    • Painter, John H.; Young Hwan Lho (IEEE, 1993-12-01)
      In this paper, fuzzy processing is applied to the adaptive Kalman filter. The filter gain coefficients are adapted over a 50 dB range of unknown signal/noise dynamics, using fuzzy membership functions. Specific simulation ...
    • Painter, John H.; Kerstetter, D.; Jowers, S. (IEEE, 1990-11)
      The deterministic design of the alpha-beta filter and the stochastic design of its Kalman counterpart are placed on a common basis. The first step is to find the continuous-time filter architecture which transforms into ...