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Support other sos types. #58

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Aug 13, 2024
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54 changes: 46 additions & 8 deletions compatible_clf_cbf/clf_cbf.py
Original file line number Diff line number Diff line change
Expand Up @@ -114,6 +114,7 @@ def construct_polynomial(
x: sym.Variables,
y: sym.Variables,
is_sos: bool,
sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSos,
) -> sym.Polynomial:
"""
Args:
Expand All @@ -123,7 +124,7 @@ def construct_polynomial(
basis = sym.MonomialBasis(
{x: int(np.floor(self.x / 2)), y: int(np.floor(self.y / 2))}
)
poly, _ = prog.NewSosPolynomial(basis)
poly, _ = prog.NewSosPolynomial(basis, type=sos_type)
else:
basis = sym.MonomialBasis({x: self.x, y: self.y})
coeffs = prog.NewContinuousVariables(basis.size)
Expand All @@ -138,7 +139,12 @@ def construct_polynomial(
state_eq_constraints: Optional[List[Degree]]

def to_lagrangians(
self, prog: solvers.MathematicalProgram, x: sym.Variables, y: sym.Variables
self,
prog: solvers.MathematicalProgram,
x: sym.Variables,
y: sym.Variables,
*,
sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSos,
) -> CompatibleLagrangians:
lambda_y = np.array(
[
Expand All @@ -151,20 +157,27 @@ def to_lagrangians(
None
if self.y is None
else np.array(
[y_i.construct_polynomial(prog, x, y, is_sos=True) for y_i in self.y]
[
y_i.construct_polynomial(prog, x, y, is_sos=True, sos_type=sos_type)
for y_i in self.y
]
)
)
rho_minus_V = (
None
if self.rho_minus_V is None
else self.rho_minus_V.construct_polynomial(prog, x, y, is_sos=True)
else self.rho_minus_V.construct_polynomial(
prog, x, y, is_sos=True, sos_type=sos_type
)
)
b_plus_eps = (
None
if self.b_plus_eps is None
else np.array(
[
b_plus_eps_i.construct_polynomial(prog, x, y, is_sos=True)
b_plus_eps_i.construct_polynomial(
prog, x, y, is_sos=True, sos_type=sos_type
)
for b_plus_eps_i in self.b_plus_eps
]
)
Expand Down Expand Up @@ -594,6 +607,8 @@ def construct_search_compatible_lagrangians(
lagrangian_degrees: CompatibleLagrangianDegrees,
barrier_eps: Optional[np.ndarray],
local_clf: bool = True,
lagrangian_sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSos,
compatible_sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSos,
) -> Tuple[solvers.MathematicalProgram, CompatibleLagrangians]:
"""
Given CLF candidate V and CBF candidate b, construct the optimization
Expand All @@ -617,7 +632,9 @@ def construct_search_compatible_lagrangians(
"""
prog = solvers.MathematicalProgram()
prog.AddIndeterminates(self.xy_set)
lagrangians = lagrangian_degrees.to_lagrangians(prog, self.x_set, self.y_set)
lagrangians = lagrangian_degrees.to_lagrangians(
prog, self.x_set, self.y_set, sos_type=lagrangian_sos_type
)
self._add_compatibility(
prog=prog,
V=V,
Expand All @@ -627,6 +644,7 @@ def construct_search_compatible_lagrangians(
lagrangians=lagrangians,
barrier_eps=barrier_eps,
local_clf=local_clf,
sos_type=compatible_sos_type,
)
return (prog, lagrangians)

Expand All @@ -642,14 +660,24 @@ def search_lagrangians_given_clf_cbf(
solver_id: Optional[solvers.SolverId] = None,
solver_options: Optional[solvers.SolverOptions] = None,
lagrangian_coefficient_tol: Optional[float] = None,
lagrangian_sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSos,
compatible_sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSos,
) -> Tuple[
Optional[CompatibleLagrangians], List[Optional[UnsafeRegionLagrangians]]
]:
(
prog_compatible,
compatible_lagrangians,
) = self.construct_search_compatible_lagrangians(
V, b, kappa_V, kappa_b, compatible_lagrangian_degrees, barrier_eps
V,
b,
kappa_V,
kappa_b,
compatible_lagrangian_degrees,
barrier_eps,
local_clf=True,
lagrangian_sos_type=lagrangian_sos_type,
compatible_sos_type=compatible_sos_type,
)
result_compatible = solve_with_id(prog_compatible, solver_id, solver_options)
compatible_lagrangians_result = (
Expand Down Expand Up @@ -690,6 +718,7 @@ def search_clf_cbf_given_lagrangian(
solver_options: Optional[solvers.SolverOptions] = None,
backoff_rel_scale: Optional[float] = None,
backoff_abs_scale: Optional[float] = None,
compatible_sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSos,
) -> Tuple[
Optional[sym.Polynomial],
Optional[np.ndarray],
Expand All @@ -713,6 +742,7 @@ def search_clf_cbf_given_lagrangian(
kappa_V,
kappa_b,
barrier_eps,
compatible_sos_type=compatible_sos_type,
)

if ellipsoid_inner is not None:
Expand Down Expand Up @@ -878,6 +908,8 @@ def bilinear_alternation(
binary_search_scale_options: Optional[BinarySearchOptions] = None,
compatible_states_options: Optional[CompatibleStatesOptions] = None,
backoff_scales: Optional[List[compatible_clf_cbf.utils.BackoffScale]] = None,
lagrangian_sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSos,
compatible_sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSos,
) -> Tuple[Optional[sym.Polynomial], np.ndarray]:
"""
Synthesize the compatible CLF and CBF through bilinear alternation. We
Expand Down Expand Up @@ -953,6 +985,8 @@ def evaluate_compatible_states(clf_fun, cbf_funs, x_val):
solver_id,
solver_options,
lagrangian_coefficient_tol,
lagrangian_sos_type=lagrangian_sos_type,
compatible_sos_type=compatible_sos_type,
)
assert compatible_lagrangians is not None
assert all(unsafe_lagrangians)
Expand Down Expand Up @@ -1027,6 +1061,7 @@ def evaluate_compatible_states(clf_fun, cbf_funs, x_val):
if backoff_scales is None
else backoff_scales[iteration].abs
),
compatible_sos_type=compatible_sos_type,
)
assert cbf is not None
if compatible_states_options is not None:
Expand Down Expand Up @@ -1163,6 +1198,7 @@ def _add_compatibility(
lagrangians: CompatibleLagrangians,
barrier_eps: Optional[np.ndarray],
local_clf: bool,
sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSos,
) -> sym.Polynomial:
"""
Add the p-satz condition that certifies the following set is empty
Expand Down Expand Up @@ -1236,7 +1272,7 @@ def _add_compatibility(
assert lagrangians.state_eq_constraints is not None
poly -= lagrangians.state_eq_constraints.dot(self.state_eq_constraints)

prog.AddSosConstraint(poly)
prog.AddSosConstraint(poly, sos_type)
return poly

def _add_barrier_safe_constraint(
Expand Down Expand Up @@ -1293,6 +1329,7 @@ def _construct_search_clf_cbf_program(
kappa_b: np.ndarray,
barrier_eps: np.ndarray,
local_clf: bool = True,
compatible_sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSos,
) -> Tuple[
solvers.MathematicalProgram,
Optional[sym.Polynomial],
Expand Down Expand Up @@ -1360,6 +1397,7 @@ def _construct_search_clf_cbf_program(
lagrangians=compatible_lagrangians,
barrier_eps=barrier_eps,
local_clf=local_clf,
sos_type=compatible_sos_type,
)

return (prog, V, b)
Expand Down
1 change: 1 addition & 0 deletions examples/quadrotor/demo.py
Original file line number Diff line number Diff line change
Expand Up @@ -134,6 +134,7 @@ def main(use_y_squared: bool, with_u_bound: bool):
lagrangian_coefficient_tol=None,
compatible_states_options=compatible_states_options,
backoff_scales=backoff_scales,
lagrangian_sos_type=solvers.MathematicalProgram.NonnegativePolynomial.kSdsos,
)
pickle_path = os.path.join(
os.path.dirname(os.path.abspath(__file__)), "../../data/quadrotor_clf_cbf.pkl"
Expand Down