An adaptive particle filter based on PSO and fuzzy inference system for nonlinear state systems
Particle filters have been widely used in nonlinear/non-Gaussian Bayesian state estimation problems. However, the particle filter (PF) is inconsistent over time. The inconsistency of PF mainly results from the particle depletion in resampling step and an incorrect priori knowledge of process and mea...
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2018-01-01
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| Series: | Automatika |
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| Online Access: | http://dx.doi.org/10.1080/00051144.2018.1498207 |