def __init__(self, *inargs):
if len(inargs) == 1:
self.vert = inargs[0]
self.A, self.s, self.b = vert2con(self.vert)
self.closed = True
elif len(inargs) == 3:
if all(sign(inargs[1]) == -1): # ensure an all -1 sign vector
self.A, self.s, self.b = inargs
else:
self.A, self.s, self.b = mat2ab(c_[inargs])
self.vert, self.closed = con2vert(self.A, self.b)
else:
exit(1) # TODO: Raise exception
self.nd = self.A.shape[1]
self.cscent = sum(self.vert, axis=0)/len(self.vert)
# - convertfuns
# - auxfuns
# - conclasses
from conclasses import ConSet
from scipy import array, linalg
from auxfuns import mat2ab
from fitting import fitset, fitmaxbox
#MAIN START =================================================================
# define AIS and DOS (equations : Ax<b)
# equations in the form Ax<b, matrix = [A s b]
# with s the sign vector [1:>, -1:<]
AISA, AISs, AISb = mat2ab(array([[1., 0., 1., 4],
[1., 0., -1., 20],
[0., 1., 1., 4],
[0., 1., -1., 20.]]))
AIS = ConSet(AISA, AISs, AISb)
DOSA, DOSs, DOSb = mat2ab(array([[1., 0., 1., 1.2],
[1., 0., -1., 1.5],
[0., 1., 1., 15.],
[0., 1., -1., 18.]]))
DOS = ConSet(DOSA, DOSs, DOSb)
POS = ConSet(*mat2ab(array([[1., 0., 1., 0],
[1., 0., -1., 1.9],
[0., 1., 1., 6.],
[0., 1., -1., 25.]])))
# define G (steady-state model)
# - auxfuns
# - conclasses
from conclasses import ConSet
from scipy import array, linalg
from auxfuns import mat2ab
from fitting import fitset
from convertfuns import con2pscon
#MAIN START =================================================================
# define AIS and DOS (equations : Ax<b)
# equations in the form Ax<b, matrix = [A s b]
# with s the sign vector [1:>, -1:<]
AISA, AISs, AISb = mat2ab(array([[1., 0., 1., 11],
[1., 0., -1., 15],
[0., 1., 1., 25],
[0., 1., -1., 90.]]))
AIS = ConSet(AISA, AISs, AISb)
DOSA, DOSs, DOSb = mat2ab(array([[1., 0., 1., 66.],
[1., 0., -1., 68.],
[0., 1., 1., 78.],
[0., 1., -1., 82.]]))
DOS = ConSet(DOSA, DOSs, DOSb)
# define G (steady-state model)
# R T10sp
G = array([[-0.0575, 0.96], # T1
[ -0.146, 0.518]]) # T8
Gi = linalg.inv(G)
# Dependencies: - SciPy
# - convertfuns
# - auxfuns
# - conclasses
from conclasses import ConSet
from scipy import array
from auxfuns import mat2ab
#MAIN START =================================================================
# define AIS and DOS (equations : Ax<b)
# equations in the form Ax<b, matrix = [A s b]
# with s the sign vector [1:>, -1:<]
AISA, AISs, AISb = mat2ab(array([[1., 0., 1., -0.0525],
[1., 0., -1., 0.125],
[0., 1., 1., -10],
[0., 1., -1., 10.]]))
AIS = ConSet(AISA, AISs, AISb)
DOSA, DOSs, DOSb = mat2ab(array([[1., 0., 1., -1.],
[1., 0., -1., 1.],
[0., 1., 1., -1.],
[0., 1., -1., 1.]]))
DOS = ConSet(DOSA, DOSs, DOSb)
# define G (steady-state model)
lss = array([[50., 50.]]) # nominal operating point (used for model generation)
G = array([[1, 0.0025],
[2, 0.0025]]) # gain matrix - atm linear steady state matrix
# calc AOS (from G and AIS)
