Particle Filtering with Adaptive Diversifying Scheme for Abruptly Changing Hidden States Estimation
Author:
Affiliation:
1. Mae Fah Luang University,School of Information Technology,Chiang Rai,Thailand
Funder
Mae Fah Luang University
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10067166/10067253/10067827.pdf?arnumber=10067827
Reference24 articles.
1. Fault Diagnosis and RUL Prediction of Nonlinear Mechatronic System via Adaptive Genetic Algorithm-Particle Filter
2. Effective sample size for importance sampling based on discrepancy measures
3. Intelligent Particle Filter and Its Application on Fault Detection of Nonlinear System
4. Novel approach to nonlinear/non-Gaussian Bayesian state estimation
5. Hybrid resampling scheme for particle filter‐based inversion
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2. Intelligent Genetic Crossover Algorithm for Improving State Estimation in Particle Filtering;2023 7th International Conference on Information Technology (InCIT);2023-11-16
3. Improving Reliability of State Estimation by Particle Filter with Cauchy Likelihood Function;2023 7th International Conference on Information Technology (InCIT);2023-11-16
4. Sequential Abruptly Changing Hidden States Estimation using Adaptive Particle Impoverishment Mitigation Scheme;2023 Joint International Conference on Digital Arts, Media and Technology with ECTI Northern Section Conference on Electrical, Electronics, Computer and Telecommunications Engineering (ECTI DAMT & NCON);2023-03-22
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