Sentence examples for modelling errors in from inspiring English sources

The stability of the closed-loop system is analysed using root-locus and Bode plots whilst robustness tests are performed by introducing modelling errors in the prediction model.

A new approach for expanding incomplete experimental mode shapes is presented which considers the modelling errors in the analytical model and the uncertainties in the vibration modal data measurements.

In this study, a neural networks-based damage detection method using the modal properties is presented, which can effectively consider the modelling errors in the baseline finite element model from which the training patterns are to be generated.

The Singular perturbation approximation balanced truncating technique is found to give the lowest modelling errors in low frequency ranges and hence is deemed most suitable for controller design and other real-time applications.

The controllers are designed so that the delay-free component of the output is tuned to be either a first- or second-order response if there are no modelling errors in the assumed plant transfer function.

Finally, the full-scale measurements were compared with the model test results to examine the accuracy of the wind tunnel test results and to identify possible modelling errors in the numerical study.

Suppose the modelling error in time t is v t m, and the random error is v t r.

The identification technique is robust in the sense that a bound on the modelling error in the frequency domain is also provided using only input output process data and prior knowledge of the distribution of the process disturbances.

We take steps in (1) refining the terrace data sets and the methods of technique application in order to reduce modelling errors, and (2) in highlighting the requirements for an assessment of interpolation method suitability when modelling highly fragmented landform records.

This is important for design optimisation, for estimating the effects of modelling errors and uncertainties in the analysis of system performance, for understanding issues such as test input design in experimental modelling and in the external validation of models.

The approximation error approach for the treatment of modelling errors was introduced in [ 11, 12].