Application of artificial neural networks to weighted interval Kalman filtering

  title={Application of artificial neural networks to weighted interval Kalman filtering},
  author={Amit Motwani and Sanjay K. Sharma and Robert Sutton and Phil F. Culverhouse},
  journal={J. Systems & Control Engineering},
The interval Kalman filter is a variant of the traditional Kalman filter for systems with bounded parametric uncertainty. For such systems, modelled in terms of intervals, the interval Kalman filter provides estimates of the system state also in the form of intervals, guaranteed to contain the Kalman filter estimates of all point-valued systems contained in the interval model. However, for practical purposes, a single, point-valued estimate of the system state is often required. This point… CONTINUE READING


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