"Hse": [i for i in itertools.product(lfe, lcp)],
"Hgc": [i for i in itertools.product(lfe, lcp)],
"Hge": [i for i in itertools.product(lfe, lcp)],
# "mom": [i for i in itertools.product(lfe, lcp)]
}
# States -- (5 * 3 + 6) * fe_x * cp_x.
# For fe_x = 5 and cp_x = 3 we will have 315 differential-states.
e = MheGen(d_mod=bfb_dae,
y=y,
x_noisy=x_noisy,
y_vars=y_vars,
x_vars=x_vars,
states=states,
u=u,
ref_state=ref_state,
u_bounds=u_bounds,
diag_QR=True,
nfe_t=nfet,
_t=500,
ncp_t=1)
# 10 fe & _t=1000 definitely degenerate
# 10 fe & _t=900 definitely degenerate
# 10 fe & _t=120 sort-of degenerate
# 10 fe & _t=50 sort-of degenerate
# 10 fe & _t=50 eventually sort-of degenerate
# 10 fe & _t=1 eventually sort-of degenerate
e.ss.dref = snap
e.load_iguess_ss()
"Mv1": [((),)],
"Mvn": [((),)]}
x_vars = {"x": [(i,) for i in range(1, ntrays + 1)],
"M": [(i,) for i in range(1, ntrays + 1)]}
nfet = 10
tfe = [i for i in range(1, nfet + 1)]
# States -- (5 * 3 + 6) * fe_x * cp_x.
# For fe_x = 5 and cp_x = 3 we will have 315 differential-states.
e = MheGen(d_mod=DistDiehlNegrete,
y=y,
x_noisy=x_noisy,
y_vars=y_vars,
x_vars=x_vars,
states=states,
u=u,
ref_state=ref_state,
u_bounds=u_bounds,
diag_QR=True,
nfe_t=nfet)
e.load_iguess_ss()
e.solve_ss()
e.load_d_s(e.d1)
e.solve_d(e.d1)
e.update_state_real() # update the current state
e.find_target_ss()
e.create_nmpc()
e.update_targets_nmpc()
"cc": [i for i in itertools.product(lfe, lcp, lc)],
}
x_vars = dict()
x_vars = {
"Hse": [(1, 1), (1, 2)],
}
# States -- (5 * 3 + 6) * fe_x * cp_x.
# For fe_x = 5 and cp_x = 3 we will have 315 differential-states.
e = MheGen(d_mod=bfb_dae,
y=y,
x_noisy=x_noisy,
y_vars=y_vars,
x_vars=x_vars,
states=states,
u=u,
ref_state=ref_state,
u_bounds=u_bounds,
diag_QR=True,
IgnoreProcessNoise=True)
e.ss.dref = snap
e.load_iguess_ss()
# sys.exit()
e.ss.create_bounds()
e.solve_ss()
e.load_d_s(e.d1)
e.d1.create_bounds()
e.solve_d(e.d1)
"Nsc": [i for i in itertools.product(lfe, lcp, lc)],
"Hsc": [i for i in itertools.product(lfe, lcp)],
"Nge": [i for i in itertools.product(lfe, lcp, lc)],
"Hge": [i for i in itertools.product(lfe, lcp)],
"Nse": [i for i in itertools.product(lfe, lcp, lc)],
"Hse": [i for i in itertools.product(lfe, lcp)],
"Ws": [i for i in itertools.product(lfe, lcp)]}
# States -- (5 * 3 + 6) * fe_x * cp_x.
# For fe_x = 5 and cp_x = 3 we will have 315 differential-states.
e = MheGen(d_mod=bfb_dae,
y=y,
x_noisy=x_noisy,
y_vars=y_vars,
x_vars=x_vars,
states=states,
u=u,
ref_state=ref_state,
u_bounds=u_bounds,
diag_QR=True)
e.load_iguess_ss()
e.solve_ss()
e.load_d_s(e.d1)
e.solve_d(e.d1)
q_cov = {}
for i in tfe:
if i < nfet:
for j in itertools.product(lfe, lcp, lc):
# "Ngb", "Hgb", "Ngc", "Hgc", "Nsc", "Hsc", "Nge", "Hge", "Nse", "Hse", "Ws"
}
x_vars = dict()
x_vars = {
"Hse": [(1, 1)],
}
# States -- (5 * 3 + 6) * fe_x * cp_x.
# For fe_x = 5 and cp_x = 3 we will have 315 differential-states.
e = MheGen(d_mod=bfb_dae,
y=y,
x_noisy=x_noisy,
y_vars=y_vars,
x_vars=x_vars,
states=states,
u=u,
ref_state=ref_state,
u_bounds=u_bounds,
diag_QR=True,
IgnoreProcessNoise=True,
nfe_t=10,
_t=500)
e.ss.dref = snap
e.load_iguess_ss()
# sys.exit()
e.ss.create_bounds()
e.solve_ss()
e.ss.report_zL(filename="mult_ss")
e.load_d_s(e.d1)
e.d1.create_bounds()
states = ["x", "M"]
x_noisy = ["x", "M"]
ntrays = 42
y_vars = {"T": [(i,) for i in range(1, ntrays + 1)],
"Mv": [(i,) for i in range(2, ntrays)],
"Mv1": [((),)],
"Mvn": [((),)]}
x_vars = {"x": [(i,) for i in range(1, ntrays + 1)],
"M": [(i,) for i in range(1, ntrays + 1)]}
e = MheGen(d_mod=DistDiehlNegrete,
y=y,
x_noisy=x_noisy,
y_vars=y_vars,
x_vars=x_vars,
states=states,
u=u,
ref_state=ref_state)
e.solve_ss()
e.load_d_s(e.d1)
e.solve_d(e.d1)
q_cov = {}
for i in range(1, 5):
for j in range(1, 43):
q_cov[("x", (j,)), ("x", (j,)), i] = 1e-05
q_cov[("M", (j,)), ("M", (j,)), i] = 1
