cbadc.digital_control.PhaseDelayedControl

class cbadc.digital_control.PhaseDelayedControl(T: float, M: int, t0: float = 0)

Bases: cbadc.digital_control.DigitalControl

Represents a digital control system that switches controls individually sequentially.

This digital control updates the \(m\)-th control signals as

\(s_m[k] = \tilde{s}((k+m)T)\)

except for this it works similarly to :py:class`cbadc.digital_control.DigitalControl`

Parameters
  • T (float) – clock period at which the digital control updates.

  • M (int) – number of controls.

  • t0 (float: optional) – determines initial time, defaults to 0.

T

clock period \(T\) of digital control system.

Type

float

M

number of controls \(M\).

Type

int

M_tilde

number of control observations \(\tilde{M}\).

Type

int

Note

For this digital control system \(M=\tilde{M}\).

Methods

__init__(T, M[, t0])

control_contribution(t, s_tilde)

Evaluates the control contribution at time t given a control observation s_tilde.

control_signal()

Returns the current control state, i.e, \(\mathbf{s}[k]\).

impulse_response(m, t)

The impulse response of the corresponding DAC waveform

control_contribution(t: float, s_tilde: numpy.ndarray) numpy.ndarray

Evaluates the control contribution at time t given a control observation s_tilde.

Parameters
  • t (float) – time at which the digital control i evaluated.

  • s_tilde (array_like, shape=(M_tilde,)) – state vector evaluated at time t

Returns

the control signal \(\mathbf{s}(t)\)

Return type

array_like, shape=(M,)

control_signal() numpy.ndarray

Returns the current control state, i.e, \(\mathbf{s}[k]\).

Returns

current control state.

Return type

array_like, shape=(M,), dtype=numpy.int8

impulse_response(m: int, t: float)

The impulse response of the corresponding DAC waveform

Parameters
  • m (int) – determines which \(m\in\{0,\dots,M-1\}\) control dimension which is triggered.

  • t (float) – evaluate the impulse response at time t.

Returns

the dac waveform of the digital control system.

Return type

array_like, shape=(M,)