Sentence examples for transform errors from inspiring English sources
Unless the frequency/wavenumber is tuned linearly with time [ 13, 14], direct FFT on this data set which is non-equidistantly distributed in the f or k domain, will introduce significant transform errors.
Furthermore, we obtain a closed-form formula for transform error, and use the formula to design an algorithm for optimal PLUS factorization.
In this way the lagged observations of a variable do not enter the formula for the transformation; they remain orthogonal to the transformed errors and are valid as instruments [ 3].
If the original errors are not autocorrelated and have a constant variance, the transformed errors should exhibit similar properties.
The proposed controllers do not utilize either the robot dynamic model or any approximation structures and are composed by simple PID or PD controllers enhanced by a proportional term of a transformed error through a transformation related gain.
The proposed controller is based on an error transformation technique, and a directly tunable gain for the transformed error feedback is introduced in the control to trade off between the tracking performance and control effort.
Statistical analysis of errors was performed on arcsine transformed error rates (Hogg & Craig, 1995).
And the scatter plot between the transformed error series which are obtained according to the probability integral transform rules [23] is shown in Fig. 7c.
Conversely, the fixed effect coefficients are biased downwards due to the negative sign on (u_{t - 1}) in the transformed error term.
Therefore, the designed constraint controller has a simpler structure than conventional transformed error constraint methods and the sliding surface constraint scheme can also indirectly guarantee the tracking error constraint while being more stable than the tracking error constraint control.
Furthermore, a delay-independent tracking scheme using nonlinearly transformed error surfaces is simply designed without the knowledge of nonlinear bounding functions of model nonlinearities, the adaptive technique, and the calculation of repeated time derivatives of certain signals.
