Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Showing content from https://python-control.readthedocs.io/en/0.10.2/generated/control.disk_margins.html below:

control.disk_margins — Python Control Systems Library 0.10.2 documentation

control.disk_margins(L, omega, skew=0.0, returnall=False)[source]

Disk-based stability margins of loop transfer function.

Parameters:

LStateSpace or TransferFunction

Linear SISO or MIMO loop transfer function.

omegasequence of array_like

1D array of (non-negative) frequencies (rad/s) at which to evaluate the disk-based stability margins.

skewfloat or array_like, optional

Skew parameter(s) for disk margin (default = 0.0):

• skew = 0.0 “balanced” sensitivity function 0.5*(S - T)

• skew = 1.0 sensitivity function S

• skew = -1.0 complementary sensitivity function T

returnallbool, optional

If True, return frequency-dependent margins. If False (default), return worst-case (minimum) margins.

Returns:

DMfloat or array_like

Disk margin.

DGMfloat or array_like

Disk-based gain margin.

DPMfloat or array_like

Disk-based phase margin.

Examples

>> omega = np.logspace(-1, 3, 1001) >> P = control.ss([[0, 10], [-10, 0]], np.eye(2), [[1, 10], [-10, 1]], 0) >> K = control.ss([], [], [], [[1, -2], [0, 1]]) >> L = P * K >> DM, DGM, DPM = control.disk_margins(L, omega, skew=0.0)

RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4