Pendulum state estimation using nonlinear state estimators

  • Authors

    • M Naga Anusha
    • Y Swara
    • S Koteswara Rao
    • V Gopi Tilak
    2018-03-18
    https://doi.org/10.14419/ijet.v7i2.7.10244
  • Extended Kalman Filter, Linearized Kalman Filter, Non-Linear, Simple Pendulum, State estimation

  • Abstract

    The convergence over Non-linear state estimation is not satisfied by Kalman filter. For nonlinear state estimation problems, the present research work on the performance analysis of linearized kalman filter and extended kalman filter for a simple nonlinear state estimation problem. The simple pendulum is the best example for simple nonlinear state dynamics. The performance analysis based on the root mean square errors of the estimates also specified through Monte-Carlo simulation.

  • References

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

      [4] KonradReif and RolfUnbehauen, “linearlsation along trajectories and the extended Kalman Filterâ€, Copy righl© 11J96JFAC13th Triennial World Congress, Sun Francisco.USA

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      [8] SimoSarkka, “Bayesian Estimation of Time-Varying Systems,Copyright (C) SimoSärkkä, 2009–2012.

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  • How to Cite

    Naga Anusha, M., Swara, Y., Koteswara Rao, S., & Gopi Tilak, V. (2018). Pendulum state estimation using nonlinear state estimators. International Journal of Engineering & Technology, 7(2.7), 9-11. https://doi.org/10.14419/ijet.v7i2.7.10244

    Received date: 2018-03-18

    Accepted date: 2018-03-18

    Published date: 2018-03-18