Estimating the limit state exceeding probability of a deteriorating structure using the Kalman filter, extended Kalman filter, unscented Kalman filter and the sequential Monte Carlo simulation
This paper focuses on determining the limit state exceeding probability of a deteriorating model using optimal and sub-optimal Bayesian algorithms. Specifically the Kalman filter (for a linear system), extended Kalman filter, unscented Kalman filter and the sequential Monte Carlo simulation (for non...
Saved in:
Main Authors: | Garciano, Lessandro Estelito O., Yoshida, Ikumasa |
---|---|
格式: | text |
出版: |
Animo Repository
2011
|
主題: | |
在線閱讀: | https://animorepository.dlsu.edu.ph/faculty_research/6033 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
相似書籍
-
Privacy-aware Kalman filtering
由: Song, Yang, et al.
出版: (2020) -
The ensemble Kalman filter is an ABC algorithm
由: Nott, D.J., et al.
出版: (2014) -
Distributed Kalman filtering for time-varying discrete sequential systems
由: Chen, Bo, et al.
出版: (2020) -
Inverse Kalman filtering problems for discrete-time systems
由: Li, Yibei, et al.
出版: (2024) -
Unscented Kalman filter and particle filter for chaotic synchronization
由: Kurian, A.P., et al.
出版: (2014)