Sentence examples for model identification methodology from inspiring English sources

Experimental results of the model identification methodology and a target temperature measurement performance after identification has been made are reported.

In order to improve the understanding of the physical behaviour of this fluid-based device, especially caused by the hydraulic resistance and inertial effects in the external tube, this work proposes a comprehensive model identification methodology.

This paper presents an evolutionary grey-box model identification methodology that makes the best use of a priori knowledge on a clear-box model with a global structural representation of the physical system under study, whilst incorporating accurate black-box models for immeasurable and local nonlinearities of a practical system.

Further details on the model identification, control methodology and stochastic modeling of insulin sensitivity are published elsewhere [ 24, 26, 30].

Model parameter identification methodology based on two optimised cyclic tests is explained and applied in the temperature range from room temperature up to 600 °C on a 55NiCrMoV7 tool steel with four different initial hardness levels.

The test results on the WECC benchmark system and the CEPRI 36-bus system demonstrate the effectiveness and reliability of the proposed modeling and identification methodology.

In this paper, an improved modelling and parameter identification methodology of a servo-pneumatic linear drive unit with complex internal design that takes into account the influence of dead volume in terms of system dynamics has been developed.

The original methodology uses an iterative three-stage modeling approach: Model identification and model selection.

The methodology for plant model identification in closed loop will be briefly surveyed and illustrated by experimental results.

The modeling procedure for the ARIMA models, which is based on the Box Jenkins methodology, comprises three iterative steps: model identification, parameter estimation, and diagnostic checking.

Identification methodology is presented and the model validated by comparing experimental and predicted evolution of hysteresis loops during symmetrical and non-symmetrical total strain LCF testing.