SISOStateSpace

Defined in module: wield.control.SISO.ss.SISOStateSpace

class SISOStateSpace(*args, A=None, B=None, C=None, D=None, E=None, hermitian=True, time_symm=False, dt=None, flags={}, fiducial=None, fiducial_w=None, fiducial_f=None, fiducial_s=None, fiducial_z=None, fiducial_rtol=None, fiducial_atol=None, algorithm_choices=None, algorithm_ranking=None)

Bases: BareStateSpaceUser, SISOCommonBase

__init__(*args, A=None, B=None, C=None, D=None, E=None, hermitian=True, time_symm=False, dt=None, flags={}, fiducial=None, fiducial_w=None, fiducial_f=None, fiducial_s=None, fiducial_z=None, fiducial_rtol=None, fiducial_atol=None, algorithm_choices=None, algorithm_ranking=None)

Form a SISO LTI system from statespace matrices.

There are lots of ways to create LTI systems. From the arguments

Methods

L2_norm(**kwargs)
Linf_norm(**kwargs)
__init__(*args[, A, B, C, D, E, hermitian, ...])	Form a SISO LTI system from statespace matrices.
adjoint()
balance(**kwargs)
balanceABC(**kwargs)
balance_and_truncate(**kwargs)
clear_fiducial()
closed_errorpoint_gain()	If self=G, this returns the filter for 1/(1-G).
closed_loop_gain()	If self=G, this returns the filter for 1/(1-G).
conjugate()
fresponse([f, w, s, z])
inv()
mimo(row, col)	Convert this statespace system into a MIMO type with a single named input and output
minreal([job, scale_io, scale, tol])
normalize([gain, w, s, f])
permute_UT(**kwargs)
print_nonzero()
reduceE(**kwargs)
reduceE2(**kwargs)
schur_form(**kwargs)
set_algorithm_choices(algorithm_choices)
stochastic_balance_and_truncate(**kwargs)
test_fresponse([fiducial, rtol, atol, update])
time_reversal()	Computes the time reversal of the filter

Attributes

A
ABCD
ABCDE
ABCDe
AE
Ae
B
C
D
E
N_MAX_FID
algorithm_choices
algorithm_ranking
asSS
asZPK
as_controlLTI
dt
e
fiducial_atol
fiducial_rtol
hermitian
isEeye
structure_flags
time_symm

fiducial_rtol = 1

fiducial_atol = 1

property asZPK

property asSS

mimo(row, col)

Convert this statespace system into a MIMO type with a single named input and output

row: name of the single output col: name of the single input

time_reversal()

Computes the time reversal of the filter

conjugate()

adjoint()

fresponse(f=None, w=None, s=None, z=None, **kwargs)

inv()

closed_loop_gain()

If self=G, this returns the filter for 1/(1-G).

property A

property ABCD

property ABCDE

property ABCDe

property AE

property Ae

property B

property C

property D

property E

L2_norm(**kwargs)

Linf_norm(**kwargs)

N_MAX_FID = 50

property algorithm_choices

property algorithm_ranking

property as_controlLTI

balance(**kwargs)

balanceABC(**kwargs)

balance_and_truncate(**kwargs)

clear_fiducial()

closed_errorpoint_gain()

If self=G, this returns the filter for 1/(1-G).

property dt

property e

property hermitian

property isEeye

minreal(job='minimal', scale_io=True, scale=True, tol=None)

normalize(gain=1, w=None, s=None, f=None)

permute_UT(**kwargs)

print_nonzero()

reduceE(**kwargs)

reduceE2(**kwargs)

schur_form(**kwargs)

set_algorithm_choices(algorithm_choices)

stochastic_balance_and_truncate(**kwargs)

property structure_flags

test_fresponse(fiducial=None, rtol=None, atol=None, update=False)

property time_symm