9 #ifndef CROCODDYL_CORE_RESIDUAL_BASE_HPP_
10 #define CROCODDYL_CORE_RESIDUAL_BASE_HPP_
12 #include <boost/make_shared.hpp>
13 #include <boost/shared_ptr.hpp>
15 #include "crocoddyl/core/activation-base.hpp"
16 #include "crocoddyl/core/cost-base.hpp"
17 #include "crocoddyl/core/data-collector-base.hpp"
18 #include "crocoddyl/core/fwd.hpp"
19 #include "crocoddyl/core/state-base.hpp"
43 template <
typename _Scalar>
46 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
48 typedef _Scalar Scalar;
55 typedef typename MathBase::VectorXs VectorXs;
56 typedef typename MathBase::MatrixXs MatrixXs;
57 typedef typename MathBase::DiagonalMatrixXs DiagonalMatrixXs;
73 const std::size_t nr,
const std::size_t nu,
74 const bool q_dependent =
true,
75 const bool v_dependent =
true,
76 const bool u_dependent =
true);
93 const std::size_t nr,
const bool q_dependent =
true,
94 const bool v_dependent =
true,
95 const bool u_dependent =
true);
105 virtual void calc(
const boost::shared_ptr<ResidualDataAbstract>& data,
106 const Eigen::Ref<const VectorXs>& x,
107 const Eigen::Ref<const VectorXs>& u);
118 virtual void calc(
const boost::shared_ptr<ResidualDataAbstract>& data,
119 const Eigen::Ref<const VectorXs>& x);
131 virtual void calcDiff(
const boost::shared_ptr<ResidualDataAbstract>& data,
132 const Eigen::Ref<const VectorXs>& x,
133 const Eigen::Ref<const VectorXs>& u);
145 virtual void calcDiff(
const boost::shared_ptr<ResidualDataAbstract>& data,
146 const Eigen::Ref<const VectorXs>& x);
175 const boost::shared_ptr<CostDataAbstract>& cdata,
176 const boost::shared_ptr<ResidualDataAbstract>& rdata,
177 const boost::shared_ptr<ActivationDataAbstract>& adata,
178 const bool update_u =
true);
183 const boost::shared_ptr<StateAbstract>&
get_state()
const;
213 template <
class Scalar>
222 virtual void print(std::ostream& os)
const;
237 template <
typename _Scalar>
239 EIGEN_MAKE_ALIGNED_OPERATOR_NEW
241 typedef _Scalar Scalar;
244 typedef typename MathBase::VectorXs VectorXs;
245 typedef typename MathBase::MatrixXs MatrixXs;
247 template <
template <
typename Scalar>
class Model>
252 Rx(model->get_nr(), model->get_state()->get_ndx()),
253 Ru(model->get_nr(), model->get_nu()),
254 Arr_Rx(model->get_nr(), model->get_state()->get_ndx()),
255 Arr_Ru(model->get_nr(), model->get_nu()) {
277 #include "crocoddyl/core/residual-base.hxx"
Abstract class for residual models.
ResidualModelAbstractTpl(boost::shared_ptr< StateAbstract > state, const std::size_t nr, const bool q_dependent=true, const bool v_dependent=true, const bool u_dependent=true)
Initialize the residual model.
bool get_q_dependent() const
Return true if the residual function depends on q.
const boost::shared_ptr< StateAbstract > & get_state() const
Return the state.
virtual void calc(const boost::shared_ptr< ResidualDataAbstract > &data, const Eigen::Ref< const VectorXs > &x)
Compute the residual vector for nodes that depends only on the state.
virtual void calcDiff(const boost::shared_ptr< ResidualDataAbstract > &data, const Eigen::Ref< const VectorXs > &x)
Compute the Jacobian of the residual functions with respect to the state only.
virtual void print(std::ostream &os) const
Print relevant information of the residual model.
ResidualModelAbstractTpl(boost::shared_ptr< StateAbstract > state, const std::size_t nr, const std::size_t nu, const bool q_dependent=true, const bool v_dependent=true, const bool u_dependent=true)
Initialize the residual model.
virtual void calc(const boost::shared_ptr< ResidualDataAbstract > &data, const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &u)
Compute the residual vector.
friend std::ostream & operator<<(std::ostream &os, const ResidualModelAbstractTpl< Scalar > &model)
Print information on the residual model.
bool get_v_dependent() const
Return true if the residual function depends on v.
virtual void calcCostDiff(const boost::shared_ptr< CostDataAbstract > &cdata, const boost::shared_ptr< ResidualDataAbstract > &rdata, const boost::shared_ptr< ActivationDataAbstract > &adata, const bool update_u=true)
Compute the derivative of the cost function.
boost::shared_ptr< StateAbstract > state_
State description.
std::size_t nu_
Control dimension.
virtual void calcDiff(const boost::shared_ptr< ResidualDataAbstract > &data, const Eigen::Ref< const VectorXs > &x, const Eigen::Ref< const VectorXs > &u)
Compute the Jacobian of the residual vector.
VectorXs unone_
No control vector.
std::size_t nr_
Residual vector dimension.
virtual boost::shared_ptr< ResidualDataAbstract > createData(DataCollectorAbstract *const data)
Create the residual data.
bool get_u_dependent() const
Return true if the residual function depends on u.
std::size_t get_nr() const
Return the dimension of the residual vector.
std::size_t get_nu() const
Return the dimension of the control input.
Abstract class for the state representation.
MatrixXs Ru
Jacobian of the residual vector with respect the control.
MatrixXs Rx
Jacobian of the residual vector with respect the state.
DataCollectorAbstract * shared
Shared data allocated by the action model.
VectorXs r
Residual vector.