Tracking of pendulum by particle smoother

  • Authors

    • Mohan RamVemuri
    • Hima BinduBade
    • Koteswara Rao.S
    • V Gopi Tilak
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10281
  • Backward Simulation Particle Smoother, Gaussian Approximations, Monte Carlo approximations, Particle filter, Particle Smoother.

  • The series of tracking algorithms accelerated from linear state to non-linear state estimations like the Particle filter.Due to its vibrant computation,tracking signal gets divergedat peaks.Smoothing makes perfect estimation possible, even at that minute portions by modifying its trace based on all the prior measurement values.So, a Particle smoother is used which uses Monte Carlo approximations for smoothing in a non-linear system. Different types of Particle Smoothers can be implemented by using various algorithms. Here, a Backward Simulation Particle smoother is used which is relatively less degenerate than other smoothing algorithms.

  • References

    1. [1] Simo Sarkka, Bayesian filtering and smoothing (2013), Vol.3, Cambridge University Press.

      [2] Godsill, S. J., Doucet, A., and West, M. 2004. “Monte Carlo smoothing for nonlinear time seriesâ€. Journal of the American Statistical Association, 99(465), 156–168

      [3] Bindu B, Mohanram V, Koteswararao S,†Tracking of pendulum using particle filter with stratified resamplingâ€, International Journal of Pure and Applied Mathematics, Volume 117 No. 18 2017, 299-304

      [4] Dan Simon, Optimal State Estimation Kalman, H∞, and Nonlinear Approaches, John Wiley and sons Inc., publishers

      [5] Douc, R., Garivier, A., Moulines, E., and Olsson, J. 2011. “Sequential Monte Carlo smoothing for general state space hidden Markov modelsâ€. Annals of Applied Probability, 21(6), 2109–2145

      [6] Tiancheng Li, MiodragBolic, Petar M. Djuric, “Resampling Methods For Particle Filteringâ€,IEEE Signal Processing Magazine, May 2015/1053-5888/15©2015IEEE

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  • How to Cite

    RamVemuri, M., BinduBade, H., Rao.S, K., & Gopi Tilak, V. (2018). Tracking of pendulum by particle smoother. International Journal of Engineering & Technology, 7(2.7), 142-145. https://doi.org/10.14419/ijet.v7i2.7.10281