Implementation of a particle filter on a GPU for nonlinear estimation in a manufacturing remelting process

@article{Lopez2014ImplementationOA,
  title={Implementation of a particle filter on a GPU for nonlinear estimation in a manufacturing remelting process},
  author={Felipe Lopez and Lixun Zhang and Joseph J. Beaman and Aloysius K. Mok},
  journal={2014 IEEE/ASME International Conference on Advanced Intelligent Mechatronics},
  year={2014},
  pages={340-345}
}
This paper discusses the use of modern methods for estimation in Vacuum Arc Remelting, a manufacturing process used in the production of specialty metals for aerospace applications. Accurate estimation in this process is challenging because the system is nonlinear and all available measurements are corrupted with noise. Particle filters are nonlinear estimators that sample a set of points, called particles, in the state space to construct discrete approximations of probability density functions… CONTINUE READING