control.flatsys.LinearFlatSystem
- class control.flatsys.LinearFlatSystem(linsys, **kwargs)[source]
Bases:
FlatSystem
,StateSpace
Base class for a linear, differentially flat system.
This class is used to create a differentially flat system representation from a linear system.
- Parameters
linsys (StateSpace) – LTI StateSpace system to be converted
inputs (int, list of str or None, optional) – Description of the system inputs. This can be given as an integer count or as a list of strings that name the individual signals. If an integer count is specified, the names of the signal will be of the form s[i] (where s is one of u, y, or x). If this parameter is not given or given as None, the relevant quantity will be determined when possible based on other information provided to functions using the system.
outputs (int, list of str or None, optional) – Description of the system outputs. Same format as inputs.
states (int, list of str, or None, optional) – Description of the system states. Same format as inputs.
dt (None, True or float, optional) – System timebase. None (default) indicates continuous time, True indicates discrete time with undefined sampling time, positive number is discrete time with specified sampling time.
params (dict, optional) – Parameter values for the systems. Passed to the evaluation functions for the system as default values, overriding internal defaults.
name (string, optional) – System name (used for specifying signals)
Methods
Append a second model to the present model.
Evaluate the bandwidth of the LTI system for a given dB drop.
Make a copy of an input/output system
Natural frequency, damping ratio of system poles
Return the zero-frequency gain
Compute the dynamics of the system
Feedback interconnection between two LTI systems.
Find the index for an input given its name (None if not found)
Return list of indices matching input spec (None if not found)
Find the index for an output given its name (None if not found)
Return list of indices matching output spec (None if not found)
Find the index for a state given its name (None if not found)
Return list of indices matching state spec (None if not found)
Compute the flat flag given the states and input.
(deprecated) Evaluate transfer function at complex frequencies.
Evaluate the linear time-invariant system at an array of angular frequencies.
Evaluate system's transfer function at complex frequency using Laub's or Horner's method.
Check to see if a system is a continuous-time system.
Check to see if a system is a discrete-time system
ispassive
Check to see if a system is single input, single output.
Return the Linear Fractional Transformation.
Linearize an input/output system at a given state and input.
Calculate a minimal realization, removes unobservable and uncontrollable states
Compute the output of the system
Compute the poles of a state space system.
Return a list of a list of
scipy.signal.lti
objects.Compute the states and input given the flat flag.
Convert a continuous time system to discrete time
Set the number/names of the system inputs.
Set the number/names of the system outputs.
Set the number/names of the system states.
Evaluate system's transfer function at complex frequency using Laub's method from Slycot.
Compute the zeros of a state space system.
- A
Dynamics matrix.
- B
Input matrix.
- C
Output matrix.
- D
Direct term.
- __call__(x, squeeze=None, warn_infinite=True)[source]
Evaluate system’s frequency response at complex frequencies.
Returns the complex frequency response sys(x) where x is s for continuous-time systems and z for discrete-time systems.
To evaluate at a frequency omega in radians per second, enter
x = omega * 1j
, for continuous-time systems, orx = exp(1j * omega * dt)
for discrete-time systems. Or useStateSpace.frequency_response()
.- Parameters
x (complex or complex 1D array_like) – Complex frequencies
squeeze (bool, optional) – If squeeze=True, remove single-dimensional entries from the shape of the output even if the system is not SISO. If squeeze=False, keep all indices (output, input and, if omega is array_like, frequency) even if the system is SISO. The default value can be set using config.defaults[‘control.squeeze_frequency_response’].
warn_infinite (bool, optional) – If set to False, don’t warn if frequency response is infinite.
- Returns
fresp – The frequency response of the system. If the system is SISO and squeeze is not True, the shape of the array matches the shape of omega. If the system is not SISO or squeeze is False, the first two dimensions of the array are indices for the output and input and the remaining dimensions match omega. If
squeeze
is True then single-dimensional axes are removed.- Return type
complex ndarray
- append(other)[source]
Append a second model to the present model.
The second model is converted to state-space if necessary, inputs and outputs are appended and their order is preserved
- bandwidth(dbdrop=-3)[source]
Evaluate the bandwidth of the LTI system for a given dB drop.
Evaluate the first frequency that the response magnitude is lower than DC gain by dbdrop dB.
- Parameters
dpdrop (float, optional) – A strictly negative scalar in dB (default = -3) defines the amount of gain drop for deciding bandwidth.
- Returns
bandwidth – The first frequency (rad/time-unit) where the gain drops below dbdrop of the dc gain of the system, or nan if the system has infinite dc gain, inf if the gain does not drop for all frequency
- Return type
ndarray
- Raises
TypeError – if ‘sys’ is not an SISO LTI instance
ValueError – if ‘dbdrop’ is not a negative scalar
- copy(name=None, use_prefix_suffix=True)[source]
Make a copy of an input/output system
A copy of the system is made, with a new name. The name keyword can be used to specify a specific name for the system. If no name is given and use_prefix_suffix is True, the name is constructed by prepending config.defaults[‘iosys.duplicate_system_name_prefix’] and appending config.defaults[‘iosys.duplicate_system_name_suffix’]. Otherwise, a generic system name of the form sys[<id>] is used, where <id> is based on an internal counter.
- damp()[source]
Natural frequency, damping ratio of system poles
- Returns
wn (array) – Natural frequency for each system pole
zeta (array) – Damping ratio for each system pole
poles (array) – System pole locations
- dcgain(warn_infinite=False)[source]
Return the zero-frequency gain
The zero-frequency gain of a continuous-time state-space system is given by:
and of a discrete-time state-space system by:
- Parameters
warn_infinite (bool, optional) – By default, don’t issue a warning message if the zero-frequency gain is infinite. Setting warn_infinite to generate the warning message.
- Returns
gain – Array or scalar value for SISO systems, depending on config.defaults[‘control.squeeze_frequency_response’]. The value of the array elements or the scalar is either the zero-frequency (or DC) gain, or inf, if the frequency response is singular.
For real valued systems, the empty imaginary part of the complex zero-frequency response is discarded and a real array or scalar is returned.
- Return type
(noutputs, ninputs) ndarray or scalar
- dynamics(t, x, u=None, params=None)[source]
Compute the dynamics of the system
Given input u and state x, returns the dynamics of the state-space system. If the system is continuous, returns the time derivative dx/dt
dx/dt = A x + B u
where A and B are the state-space matrices of the system. If the system is discrete-time, returns the next value of x:
x[t+dt] = A x[t] + B u[t]
The inputs x and u must be of the correct length for the system.
The first argument t is ignored because
StateSpace
systems are time-invariant. It is included so that the dynamics can be passed to numerical integrators, such asscipy.integrate.solve_ivp()
and for consistency withIOSystem
systems.- Parameters
t (float (ignored)) – time
x (array_like) – current state
u (array_like (optional)) – input, zero if omitted
- Returns
dx/dt or x[t+dt]
- Return type
ndarray
- forward(x, u, params)[source]
Compute the flat flag given the states and input.
See
control.flatsys.FlatSystem.forward()
for more info.
- frequency_response(omega=None, squeeze=None)[source]
Evaluate the linear time-invariant system at an array of angular frequencies.
For continuous time systems, computes the frequency response as
G(j*omega) = mag * exp(j*phase)
For discrete time systems, the response is evaluated around the unit circle such that
G(exp(j*omega*dt)) = mag * exp(j*phase).
In general the system may be multiple input, multiple output (MIMO), where m = self.ninputs number of inputs and p = self.noutputs number of outputs.
- Parameters
omega (float or 1D array_like) – A list, tuple, array, or scalar value of frequencies in radians/sec at which the system will be evaluated.
squeeze (bool, optional) – If squeeze=True, remove single-dimensional entries from the shape of the output even if the system is not SISO. If squeeze=False, keep all indices (output, input and, if omega is array_like, frequency) even if the system is SISO. The default value can be set using config.defaults[‘control.squeeze_frequency_response’].
- Returns
response – Frequency response data object representing the frequency response. This object can be assigned to a tuple using
mag, phase, omega = response
where
mag
is the magnitude (absolute value, not dB or log10) of the system frequency response,phase
is the wrapped phase in radians of the system frequency response, andomega
is the (sorted) frequencies at which the response was evaluated. If the system is SISO and squeeze is not True,magnitude
andphase
are 1D, indexed by frequency. If the system is not SISO or squeeze is False, the array is 3D, indexed by the output, input, and, if omega is array_like, frequency. Ifsqueeze
is True then single-dimensional axes are removed.- Return type
FrequencyResponseData
- horner(x, warn_infinite=True)[source]
Evaluate system’s transfer function at complex frequency using Laub’s or Horner’s method.
Evaluates sys(x) where x is s for continuous-time systems and z for discrete-time systems.
Expects inputs and outputs to be formatted correctly. Use
sys(x)
for a more user-friendly interface.- Parameters
x (complex array_like or complex) – Complex frequencies
- Returns
output – Frequency response
- Return type
(self.noutputs, self.ninputs, len(x)) complex ndarray
Notes
Attempts to use Laub’s method from Slycot library, with a fall-back to python code.
- isctime(strict=False)[source]
Check to see if a system is a continuous-time system.
- Parameters
sys (Named I/O system) – System to be checked
strict (bool, optional) – If strict is True, make sure that timebase is not None. Default is False.
- isdtime(strict=False)[source]
Check to see if a system is a discrete-time system
- Parameters
strict (bool, optional) – If strict is True, make sure that timebase is not None. Default is False.
- lft(other, nu=-1, ny=-1)[source]
Return the Linear Fractional Transformation.
A definition of the LFT operator can be found in Appendix A.7, page 512 in the 2nd Edition, Multivariable Feedback Control by Sigurd Skogestad.
An alternative definition can be found here: https://www.mathworks.com/help/control/ref/lft.html
- Parameters
other (LTI) – The lower LTI system
ny (int, optional) – Dimension of (plant) measurement output.
nu (int, optional) – Dimension of (plant) control input.
- linearize(x0, u0, t=0, params=None, eps=1e-06, name=None, copy_names=False, **kwargs)[source]
Linearize an input/output system at a given state and input.
Return the linearization of an input/output system at a given state and input value as a StateSpace system. See
linearize()
for complete documentation.
- minreal(tol=0.0)[source]
Calculate a minimal realization, removes unobservable and uncontrollable states
- ninputs
Number of system inputs.
- noutputs
Number of system outputs.
- nstates
Number of system states.
- output(t, x, u=None, params=None)[source]
Compute the output of the system
Given input u and state x, returns the output y of the state-space system:
y = C x + D u
where A and B are the state-space matrices of the system.
The first argument t is ignored because
StateSpace
systems are time-invariant. It is included so that the dynamics can be passed to most numerical integrators, such as scipy’s integrate.solve_ivp and for consistency withIOSystem
systems.The inputs x and u must be of the correct length for the system.
- Parameters
t (float (ignored)) – time
x (array_like) – current state
u (array_like (optional)) – input (zero if omitted)
- Returns
y
- Return type
ndarray
- returnScipySignalLTI(strict=True)[source]
Return a list of a list of
scipy.signal.lti
objects.For instance,
>>> out = ssobject.returnScipySignalLTI() >>> out[3][5]
is a
scipy.signal.lti
object corresponding to the transfer function from the 6th input to the 4th output.- Parameters
strict (bool, optional) –
- True (default):
The timebase ssobject.dt cannot be None; it must be continuous (0) or discrete (True or > 0).
- False:
If ssobject.dt is None, continuous time
scipy.signal.lti
objects are returned.
- Returns
out – continuous time (inheriting from
scipy.signal.lti
) or discrete time (inheriting fromscipy.signal.dlti
) SISO objects- Return type
list of list of
scipy.signal.StateSpace
- reverse(zflag, params)[source]
Compute the states and input given the flat flag.
See
control.flatsys.FlatSystem.reverse()
for more info.
- sample(Ts, method='zoh', alpha=None, prewarp_frequency=None, name=None, copy_names=True, **kwargs)[source]
Convert a continuous time system to discrete time
Creates a discrete-time system from a continuous-time system by sampling. Multiple methods of conversion are supported.
- Parameters
Ts (float) – Sampling period
method ({"gbt", "bilinear", "euler", "backward_diff", "zoh"}) –
Which method to use:
gbt: generalized bilinear transformation
bilinear: Tustin’s approximation (“gbt” with alpha=0.5)
euler: Euler (or forward differencing) method (“gbt” with alpha=0)
backward_diff: Backwards differencing (“gbt” with alpha=1.0)
zoh: zero-order hold (default)
alpha (float within [0, 1]) – The generalized bilinear transformation weighting parameter, which should only be specified with method=”gbt”, and is ignored otherwise
prewarp_frequency (float within [0, infinity)) – The frequency [rad/s] at which to match with the input continuous- time system’s magnitude and phase (the gain=1 crossover frequency, for example). Should only be specified with method=’bilinear’ or ‘gbt’ with alpha=0.5 and ignored otherwise.
name (string, optional) – Set the name of the sampled system. If not specified and if copy_names is False, a generic name <sys[id]> is generated with a unique integer id. If copy_names is True, the new system name is determined by adding the prefix and suffix strings in config.defaults[‘iosys.sampled_system_name_prefix’] and config.defaults[‘iosys.sampled_system_name_suffix’], with the default being to add the suffix ‘$sampled’.
copy_names (bool, Optional) – If True, copy the names of the input signals, output signals, and states to the sampled system.
inputs (int, list of str or None, optional) – Description of the system inputs. If not specified, the origional system inputs are used. See
InputOutputSystem
for more information.outputs (int, list of str or None, optional) – Description of the system outputs. Same format as inputs.
states (int, list of str, or None, optional) – Description of the system states. Same format as inputs.
- Returns
sysd – Discrete-time system, with sampling rate Ts
- Return type
Notes
Uses
scipy.signal.cont2discrete()
Examples
>>> G = ct.ss(0, 1, 1, 0) >>> sysd = G.sample(0.5, method='bilinear')
- set_inputs(inputs, prefix='u')[source]
Set the number/names of the system inputs.
- Parameters
inputs (int, list of str, or None) – Description of the system inputs. This can be given as an integer count or as a list of strings that name the individual signals. If an integer count is specified, the names of the signal will be of the form u[i] (where the prefix u can be changed using the optional prefix parameter).
prefix (string, optional) – If inputs is an integer, create the names of the states using the given prefix (default = ‘u’). The names of the input will be of the form prefix[i].
- set_outputs(outputs, prefix='y')[source]
Set the number/names of the system outputs.
- Parameters
outputs (int, list of str, or None) – Description of the system outputs. This can be given as an integer count or as a list of strings that name the individual signals. If an integer count is specified, the names of the signal will be of the form u[i] (where the prefix u can be changed using the optional prefix parameter).
prefix (string, optional) – If outputs is an integer, create the names of the states using the given prefix (default = ‘y’). The names of the input will be of the form prefix[i].
- set_states(states, prefix='x')[source]
Set the number/names of the system states.
- Parameters
states (int, list of str, or None) – Description of the system states. This can be given as an integer count or as a list of strings that name the individual signals. If an integer count is specified, the names of the signal will be of the form u[i] (where the prefix u can be changed using the optional prefix parameter).
prefix (string, optional) – If states is an integer, create the names of the states using the given prefix (default = ‘x’). The names of the input will be of the form prefix[i].
- slycot_laub(x)[source]
Evaluate system’s transfer function at complex frequency using Laub’s method from Slycot.
Expects inputs and outputs to be formatted correctly. Use
sys(x)
for a more user-friendly interface.- Parameters
x (complex array_like or complex) – Complex frequency
- Returns
output – Frequency response
- Return type
(number_outputs, number_inputs, len(x)) complex ndarray
- property states