Using the identified uncertain model, a Structured Singular Value (SSV) analysis is used to estimate the realizations in the disturbance set that generates the worst-case variability and constraint violations.
A robust H∞ controller is synthesized using the identified uncertain Hammerstein model and a systematic performance weighting selection process for a class of L∞ constraints.
We present the linearized uncertain model identified for the working area determined by four working points.
Having identified uncertain transition sites, road engineers should help drivers to select the right speed.
A preliminary sensitivity analysis is performed to identify the uncertain model parameters that strongly influence model predictions.
The values of the uncertain parameters of the model are identified using the time domain sound pressure responses at selected measurement points.
This paper presents an inverse approach how to identify a stochastic finite element model from uncertain test data.
Genotype calls were then reviewed manually to identify any uncertain calls due to clustering artifacts.
Prediction intervals can also be used to identify highly uncertain predictions.
We identified several key uncertain treatment-related parameters and assumptions which we varied systematically, first one at a time and then in combination, to assess their impact on model-projected survival (Table 1).
