Gaussian filters for parameter and state estimation: A general review of theory and recent trends

@article{Afshari2017GaussianFF,
  title={Gaussian filters for parameter and state estimation: A general review of theory and recent trends},
  author={Hamed H. Afshari and S. Andrew Gadsden and Saeid R. Habibi},
  journal={Signal Processing},
  year={2017},
  volume={135},
  pages={218-238}
}
Real-time control systems rely on reliable estimates of states and parameters in order to provide accurate and safe control of electro-mechanical systems. The task of extracting state and parametric values from systems partial measurements is referred to as state and parameter estimation. The main goal is minimizing the estimation error as well as maintaining robustness against the noise and modeling uncertainties. The development of estimation techniques spans over five centuries, and involves… CONTINUE READING

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