• Adaptive Kalman filters for nonlinear finite element model updating 

      Song M., Astroza R., Ebrahimian H., Moaveni B., Papadimitriou C. (2020)
      This paper presents two adaptive Kalman filters (KFs) for nonlinear model updating where, in addition to nonlinear model parameters, the covariance matrix of measurement noise is estimated recursively in a near online ...
    • Nonlinear Model Updating Using Recursive and Batch Bayesian Methods 

      Song M., Astroza R., Ebrahimian H., Moaveni B., Papadimitriou C. (2020)
      This paper studies the performance of recursive and batch Bayesian methods for nonlinear model updating. Unscented Kalman filter (UKF) is selected to represent the recursive Bayesian method, and two UKF approaches are ...