Sentence examples for modeling error and from inspiring English sources

Specifically, the effect of the structural parameter, the choice of aeroelastic model (modeling error) and also the stress selection criterion for the damage estimate on the fatigue damage estimate is reported in this work.

From the identified RBF-ARX model, a local linearization state-space model that considers the modeling error and bounded uncertain disturbance is obtained to represent the current behavior of the nonlinear system, and a polytopic uncertain linear parameter varying (LPV) state-space model is built to represent the future system's nonlinear behavior between the output deviation and input increment.

Large values for α decrease the model complexity providing larger modeling error and details are not preserved.

The proposed control scheme includes a fuzzy tracking controller with state feedback plus the tracking error integral, a robust nonlinear compensator for eliminating the matched part of the compound disturbance consisting of the unmodeled disturbance and fuzzy modeling error, and a DO-based compensator for the modeled disturbance cancellation.

The models, performances are evaluated based on two statistical indices to measure the modeling error and Taylor diagram.

However, ambient vibration will cause modeling error and affect the accuracy of the identified results.

Applying the updated PDB_REDO to the oldest, but also to some of the newest models in the PDB, corrects existing modeling errors and brings these models to a higher quality, as judged by standard validation methods.

The system noise is a tool that accounts for all the unknown phenomena that are not captured by the deterministic model, for example approximations, modeling errors, and oversimplifications.

Since the EPAS system has nonlinear frictions, component deviations and load disturbances, its linearized model is subject to significant modeling errors and external disturbances.

The aim of this work is twofold: (1) to propose a probabilistic model for the fluid structure interaction considering modeling errors and (2) to analyze the stability and reliability of the stochastic system.

There are many potential sources for discrepancies: different usage of the building in model and reality, design, construction and commissioning deficiencies, software limitation and modeling errors and different weather in reality than in the model are the factors typically considered.