Abstract
The implicit filter approximates conditional distributions in the optimal filter over a deterministic state space grid and is developed from samples of the current state obtained by solving the state equation implicitly. The purpose of the meshfree approximation is to improve the efficiency of the implicit filter in moderately high-dimensional problems. The construction of the algorithm includes generation of random state space points and a mesh-free interpolation method. Numerical experiments show the effectiveness and efficiency of our algorithm.
Original language | English |
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Pages (from-to) | 19-33 |
Number of pages | 15 |
Journal | International Journal for Uncertainty Quantification |
Volume | 6 |
Issue number | 1 |
DOIs | |
State | Published - 2016 |
Keywords
- Implicit algorithm
- Mesh-free approximation
- Nonlinear filtering
- Shepard’s method