MATLAB-based general approach for square-root extended-unscented and fifth-degree cubature Kalman filtering methods
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Publication:2034163
DOI10.1016/j.ejcon.2021.01.003zbMath1466.93165OpenAlexW3128993700MaRDI QIDQ2034163
Publication date: 21 June 2021
Published in: European Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ejcon.2021.01.003
ordinary differential equationsMATLABcontinuous-discrete filteringcubature Kalman filterunscented Kalman filtersquare-root implementations
Filtering in stochastic control theory (93E11) Mathematical modeling or simulation for problems pertaining to systems and control theory (93-10)
Related Items (2)
Overall hyperbolic-singular-value-decomposition-based square-root solutions in Kalman filters with deterministically sampled mean and covariance for state estimation in continuous-discrete nonlinear stochastic systems ⋮ Universal MATLAB‐based square‐root solutions in the family of continuous‐discrete Gaussian filters for state estimation in nonlinear stochastic dynamic systems
Uses Software
Cites Work
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