We run the WINDMI model on 7 large geomagnetic storms, while optimizing the model state variables against the Dst index, the MT index, and the AL index simultaneously.
The present study aims at extending the recently introduced Weak Constrained Ensemble Kalman Filter (WCEnKF) to a more general framework, namely unsupervised WCEnKF (UWCEnKF), in which the covariance of the water balance model is no longer known, thus requiring its estimation along with the model state variables.
The MK model state variables and fluxes were introduced into the network and used to specify the x and v vectors in the overall mass-balance model.
The most widely used method is the local sensitivity analysis which consists of calculating the partial derivatives of the model state variables to the model parameters evaluated at the normal operating point where all the parameters have their nominal value.
A description of the mammalian circadian clock model state variables is given in Table 2. Due to the wide parameter ranges used, 57 (0.7%) of the 8192 simulations did not result in a stable limit cycle.
One outer loop, starting with empty A = and B =, iterates over all sub-models (state variables) to which the measured time series should be linked.
In metamodelling of the mammalian circadian clock model, the state variable time series (Y) were modelled as functions of the parameters of the dynamic model and their cross- and second order terms (X).
In a memristor model, the state variable is an internal unknown because its value gets changed with different states.
To design an optimal regulator, the modern control theory requires the development of dynamic system model in state variable form.
Then, the model's state variable N(i| t) represents the number of cells which have divided i k times during the time intervals (T k -1, T k], respectively, at a certain time t.
