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Error Estimation for the Particle Filter
2019 53rd Annual Conference on Information Sciences and Systems (CISS), 2019The particle filter is a popular algorithm for solving the state-space problem for its easy implement. Many previous studies have been conducted to study the asymptotical behavior of particle filters. In our previous works, we divided the error of particle filter into two parts.
Ziyu Liu 0001, James C. Spall
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Guaranteed a-posteriori error estimation and a-posteriori estimation of the pollution error
2001Abstract In Chapter 5 we discussed various estimators for the energy norm of the error in the finite element solution. We discussed the Neumann element residual estimator, the subdo-main residual estimator, the explicit residual estimator, the recovery estimators (e.g. the ZZ–SPR estimator, etc), and analyzed them in two ways:
Ivo Babuška, Theofanis Strouboulis
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Online Smart Meter Measurement Error Estimation Based on EKF and LMRLS Method
IEEE Transactions on Smart Grid, 2021Xiangyu Kong, Xiaopeng Zhang, Ning Lu
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Errors, Recovery Processes, and Error Estimates
2005O.C. Zienkiewicz, R.L. Taylor, J.Z. Zhu
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Accelerated Iteration Algorithm Based Contouring Error Estimation for Multiaxis Motion Control
IEEE/ASME Transactions on Mechatronics, 2022Ze Wang, Chuxiong Hu, Yu Zhu
exaly