Corpus ID: 519867

Learning Relational Kalman Filtering

@inproceedings{Choi2015LearningRK,
  title={Learning Relational Kalman Filtering},
  author={Jaesik Choi and E. Amir and T. Xu and A. Valocchi},
  booktitle={AAAI},
  year={2015}
}
  • Jaesik Choi, E. Amir, +1 author A. Valocchi
  • Published in AAAI 2015
  • Computer Science
  • The Kalman Filter (KF) is pervasively used to control a vast array of consumer, health and defense products. By grouping sets of symmetric state variables, the Relational Kalman Filter (RKF) enables us to scale the exact KF for large-scale dynamic systems. In this paper, we provide a parameter learning algorithm for RKF, and a regrouping algorithm that prevents the degeneration of the relational structure for efficient filtering. The proposed algorithms significantly expand the applicability of… CONTINUE READING
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