Sentence examples for model identification techniques from inspiring English sources

This paper investigates model identification techniques for deriving size-dependent facet growth kinetics models as functions of supersaturation and size of the crystal.

The wavelength modulation is derived by the measurement of the interferometric phase, while the frequency response is estimated by means of frequency-domain model identification techniques.

Validity and accuracy of model based identification techniques such as linear finite element (FE) model updating are sensitive to modeling errors.

The experiments used to construct models of joint dynamics are described, and the requirements for the system models and identification techniques are listed.

The strategy employs an empirically derived process model using subspace identification techniques.

We describe model construction and identification techniques along with computational tools to characterize cellular operation.

The existing approaches for this class of control systems are mainly based on off-line linear or on-line model identification and control techniques, which tend to have performance issues in the presence of nonlinearities induced by this scheme.

As the first attempt in automatic well-testing model identification using AI techniques, Allain and Horne (1990) employed syntactic pattern recognition and a rule-based approach to automatically recognize the conceptual reservoir models from the pressure derivative plots.

Having thus obtained training data we model the relationship between sensory readings and the motor commands of the robot using ARMAX/NARMAX models and system identification techniques.

Many approaches investigate the well-testing model identification using the AI techniques, whereas a few techniques have been developed to estimate the model-related parameters.

This paper introduces a systematic approach to reduce this discrepancy using data clustering, model selection, and cluster identification techniques.