Sentence examples for model order and from inspiring English sources

In this method, Bayesian information criterion and the ARMA(2n,2n – 1) modeling procedure are first used to automatically select the optimal model order, and the auto regressive moving averaging models are built based on ambient data, then the low-frequency oscillation modal frequency and damping ratio are identified.

In this paper we further explore the latter option, which is conceptually interesting while preserving the model order and size.

A reversible-jump Markov-chain-Monte-Carlo (MCMC) technique is used to calculate the model order and the parameters.

The simplified refined instrument variable algorithm was used as model parameter identification tool to obtain the best model order and parameters.

The simplified refined instrument variable algorithm was used as a model parameter identification tool to obtain the best model order and parameters.

Then, a model order determination criterion is proposed to estimate the model order and the state matrix of power system is obtained.

This safety critical component is characterized by a complex modal behaviour requiring both high model orders and a high spatial resolution in order to achieve an accurate model.

Instead, the system is estimated at multiple model orders and some GUI driven stabilization diagram containing the resulting modal parameters is used by the structural engineer.

Several models were tested in the process of determining the backoff functions for different maximal model orders and different factors.

The ARopt is investigated for different model orders, and the model order giving the smallest total error for all subsequences of Hallå is used and the corresponding error is presented.

A nonlinear high-order state space model is generated and proper orthogonal decomposition is used for model order reduction and the accuracy of the reduced model is verified.