freqresp_relative_error

Relative error between a reference signal and a second signal.

The error metric is defined as in [1] to be:

\[\varepsilon_{rel}[\mathbf{Y}_1, \mathbf{Y}_2] = \frac{\max_{i,j} (\sup_{w\in[0, \bar{w}]}[\mathbf{Y}_2 - \mathbf{Y}_1]_{i, j})}{\max_{i,j}(\sup_{w\in[0, \bar{w}]}[\mathbf{Y}_1]_{i,j})}.\]
param y1:

Reference signal frequency response.

type y1:

np.ndarray

param y2:

Frequency response matrix.

type y2:

np.ndarray

param wv:

Array of frequencies. Required when specifying a max and min value

type wv:

Optional [np.ndarray]

param **kwargs:

Key word arguments for max and min frequencies. See below.

Keyword Args

vmin (float): Lower bound value to find index in wv. vmax (float): Upper bound value to find index in wv.

returns:

Maximum relative error between frequency responses.

rtype:

float

References

Maraniello, S. and Palacios, R. Parametric Reduced Order Modelling of the Unsteady Vortex Lattice Method. AIAA Journal. 2020