An iterative augmented unscented Kalman particle filter for simultaneous state-parameter-input estimation for structural systems subjected to gamma-distribution noise
DOI10.1142/S021945542450278XzbMATH Open1548.9312MaRDI QIDQ6640014
Jingfeng Wang, Wanqian Wang, Tianhao Yu
Publication date: 18 November 2024
Published in: International Journal of Structural Stability and Dynamics (Search for Journal in Brave)
particle filterunscented Kalman filteriterative strategyiterative augmented unscented Kalman particle filterstate-parameter-input estimation
Filtering in stochastic control theory (93E11) Forced motions for nonlinear problems in mechanics (70K40) Interacting random processes; statistical mechanics type models; percolation theory (60K35)
Cites Work
- Title not available (Why is that?)
- Experimental Study on Impact-Induced Damage Detection Using an Improved Extended Kalman Filter
- Nonlinear filtering: Interacting particle resolution
- Sequential Monte Carlo Methods for Dynamic Systems
- A two-step drive-by bridge damage detection using dual Kalman filter
- Joint estimation of multi-scale structural responses and unknown loadings based on modal Kalman filter without using collocated acceleration observations
- A novel real-time method for structural damage detection using Kalman filter and sensitivity analysis
- Online model updating method with multiple inputs considering realistic boundary conditions in hybrid tests
- New results in linear filtering and prediction theory
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