10 #ifndef CROCODDYL_CORE_NUMDIFF_COST_HPP_
11 #define CROCODDYL_CORE_NUMDIFF_COST_HPP_
13 #include <boost/function.hpp>
15 #include "crocoddyl/core/cost-base.hpp"
16 #include "crocoddyl/multibody/fwd.hpp"
31 template <
typename _Scalar>
34 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
37 typedef _Scalar Scalar;
45 typedef boost::function<void(
const VectorXs&,
const VectorXs&)>
64 virtual void calc(
const std::shared_ptr<CostDataAbstract>& data,
65 const Eigen::Ref<const VectorXs>& x,
66 const Eigen::Ref<const VectorXs>& u)
override;
72 virtual void calc(
const std::shared_ptr<CostDataAbstract>& data,
73 const Eigen::Ref<const VectorXs>& x)
override;
78 virtual void calcDiff(
const std::shared_ptr<CostDataAbstract>& data,
79 const Eigen::Ref<const VectorXs>& x,
80 const Eigen::Ref<const VectorXs>& u)
override;
86 virtual void calcDiff(
const std::shared_ptr<CostDataAbstract>& data,
87 const Eigen::Ref<const VectorXs>& x)
override;
107 template <
typename NewScalar>
142 void set_reevals(
const std::vector<ReevaluationFunction>& reevals);
162 void assertStableStateFD(
const Eigen::Ref<const VectorXs>& );
164 std::shared_ptr<Base> model_;
168 std::vector<ReevaluationFunction>
172 template <
typename _Scalar>
174 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
176 typedef _Scalar Scalar;
189 template <
template <
typename Scalar>
class Model>
192 :
Base(model, shared_data),
193 dx(model->get_state()->get_ndx()),
194 xp(model->get_state()->get_nx()),
196 up(model->get_nu()) {
202 const std::size_t ndx = model->get_model()->get_state()->get_ndx();
203 const std::size_t nu = model->get_model()->get_nu();
204 data_0 = model->get_model()->createData(shared_data);
205 for (std::size_t i = 0; i < ndx; ++i) {
206 data_x.push_back(model->get_model()->createData(shared_data));
208 for (std::size_t i = 0; i < nu; ++i) {
209 data_u.push_back(model->get_model()->createData(shared_data));
215 using Base::activation;
222 using Base::residual;
237 std::vector<std::shared_ptr<Base> >
239 std::vector<std::shared_ptr<Base> >
248 #include "crocoddyl/core/numdiff/cost.hxx"
Abstract class for cost models.
std::shared_ptr< ActivationModelAbstract > activation_
Activation model.
std::shared_ptr< StateAbstract > state_
State description.
std::size_t nu_
Control dimension.
VectorXs unone_
No control vector.
This class computes the numerical differentiation of a cost model.
const std::shared_ptr< Base > & get_model() const
Return the original cost model.
CostModelNumDiffTpl< NewScalar > cast() const
Cast the cost numdiff model to a different scalar type.
const Scalar get_disturbance() const
Return the disturbance constant used by the numerical differentiation routine.
bool get_with_gauss_approx()
Identify if the Gauss approximation is going to be used or not.
void set_reevals(const std::vector< ReevaluationFunction > &reevals)
Register functions that updates the shared data computed for a system rollout The updated data is use...
void set_disturbance(const Scalar disturbance)
Modify the disturbance constant used by the numerical differentiation routine.
virtual void calc(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x) override
virtual void calcDiff(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x) override
virtual void calcDiff(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &u) override
Compute the Jacobian and Hessian of cost and its residual vector.
virtual std::shared_ptr< CostDataAbstract > createData(DataCollectorAbstract *const data) override
Create a numdiff cost data.
virtual ~CostModelNumDiffTpl()=default
Initialize the numdiff cost model.
virtual void calc(const std::shared_ptr< CostDataAbstract > &data, const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &u) override
Compute the cost value and its residual vector.
CostModelNumDiffTpl(const std::shared_ptr< Base > &model)
Initialize the numdiff cost model.
Scalar x_norm
Norm of the state vector.
std::vector< std::shared_ptr< Base > > data_x
The temporary data associated with the state variation.
Scalar uh_jac
Disturbance value used for computing .
std::vector< std::shared_ptr< Base > > data_u
The temporary data associated with the control variation.
Scalar xh_jac
Disturbance value used for computing .
VectorXs du
Control disturbance.
std::shared_ptr< Base > data_0
The data at the approximation point.
VectorXs dx
State disturbance.
CostDataNumDiffTpl(Model< Scalar > *const model, DataCollectorAbstract *const shared_data)
Initialize the numdiff cost data.