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In the first analysis, the neural tuning model update step of the 10th order UKF was disabled so that the filter ignored neural activity and used only the movement model to "dead reckon".
The model update step is not straightforward as in MEME and utilizes the ideas of COVE to the fullest.
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This failure of PS relates to the fact that the 'sampling model-update step' (see Table S1: 'Algorithm: sampling') does not sufficiently explores the search space in the absence of coregulated information.
As we discussed in the last section about the data association issues in the SLAM algorithm, we adapted a simple data association approach into three main SLAM steps: the prediction step for calculating the current state of particles in motion model; the partial diversity updating step for recalculating the possibility of particles; the resampling step for deleting probable trajectories.
Gamerman [ 23] describes how to sample effectively the vector of covariates in generalized linear mixed models in a block updating step.
The updating step is expressed as (4).
In this article, a probability-based damage detection procedure is presented, in which the random factor method for non-homogeneous random field is developed and used as the forward propagation to analytically evaluate covariance matrices in each iteration step of stochastic model updating.
The comparison of structural responses, e.g. natural frequencies and mode shapes, between predictions and measurements is an important step in finite element (FE) model updating.
A two-step methodology is proposed for finite element model updating.
In the first step, mass and stiffness matrices are updated using FRF-based model updating method.
Then, a response sensitivity based model updating method is utilized to identify the crack location and crack depth precisely in the second step.
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