Physics-aware tuning of the unscented Kalman filter: statistical framework for solving inverse problems involving nonlinear dynamical systems and missing data

E Ghorbani, Q Dollon, FP Gosselin - Nonlinear Dynamics, 2025 - Springer
The performance of the Unscented Kalman Filter (UKF) strongly depends on the proper
choice of measurement and process uncertainty matrices, as well as on the scaling …

Time‐varying reliability analysis based on hybrid Kalman filtering and probability density evolution

E Ghorbani, SS Afshari, D Svecova… - Earthquake …, 2024 - Wiley Online Library
The study introduces a novel approach for time‐varying reliability analysis of structures
called “hybrid UKF‐PDEM” by integrating the unscented Kalman filter (UKF) and the …

Bayesian Flexural Rigidity Identification of Small Wind Turbine Blades Using Unscented Kalman Filter

S Fadaei, E Ghorbani, F Afagh, R Langlois - Available at SSRN 5002137 - papers.ssrn.com
This study presents a comprehensive approach to estimating the flexural rigidity and
mechanical behavior of small wind turbine blades through the application of an Unscented …